def how_many_event_two(dataset, narrative, _):
questions = ['How many times was [a,an] <S1> <A1> [or,and] [a,an] <S2> <A2>?',
'How many times did you [hear,listen to] [a,an] <S1> <A1> [or,and] [a,an] <S2> <A2>?', # noqa: E501
'How many times have you [heard,listened to] [a,an] <S1> <A1> [or,and] [a,an] <S2> <A2>?', # noqa: E501
'What is the number of times [a,an] <S1> <A1> [or,and] [a,an] <S2> <A2>?', # noqa: E501
'What is the number of times did you [hear,listen to] [a,an] <S1> <A1> [or,and] [a,an] <S2> <A2>?', # noqa: E501
'What is the number of times you [heard,listened to] [a,an] <S1> <A1> [or,and] [a,an] <S2> <A2>?', # noqa: E501
]
question = str(np.random.choice(questions)) # sample question
event_1 = str(np.random.choice(dataset['events'])) # sample event
source_1 = str(np.random.choice(dataset['sources'][event_1]))
action_1 = str(np.random.choice(dataset['actions'][event_1]))
x_lst_events = [e for e in dataset['events'] if e != event_1]
event_2 = str(np.random.choice(x_lst_events)) # sample event
source_2 = str(np.random.choice(dataset['sources'][event_2]))
action_2 = str(np.random.choice(dataset['actions'][event_2]))
assert event_1 != event_2, 'Question (how_many_event_two) illposed.'
question = question.replace('<S1>', source_1) # insert source
question = question.replace('<A1>', action_1) # insert action
question = question.replace('<S2>', source_2) # insert source
question = question.replace('<A2>', action_2) # insert action
question = sanitize_question(question) # correct grammar
lst_events = get_lst_events(narrative)
answer = numbers_to_words(lst_events.count(event_1)
+ lst_events.count(event_2))
return question, answer
def how_many_sounds_duration_event(dataset, narrative, rel_diff=0.1):
questions = ['How many [sound events,sounds] [roughly,approximately] as <D> as the <S> <A>?', # noqa: E501
'How many [sound events,sounds] that are [roughly,approximately] as <D> as the <S> <A> [did,could] you [hear,listen to]?', # noqa: E501
'How many [sound events,sounds] that are [roughly,approximately] as <D> as the <S> <A> have you heard?', # noqa: E501
'How many [sound events,sounds] that have [roughly,approximately] the same duration as the <S> <A>?', # noqa: E501
'How many [sound events,sounds] that have [roughly,approximately] the same duration as the <S> <A> [did,could] you [hear,listen to]?', # noqa: E501
'How many [sound events,sounds] that have [roughly,approximately] the same duration as the <S> <A> have you heard?', # noqa: E501
'What is the number of [sound events,sounds] [roughly,approximately] as <D> as the <S> <A>?', # noqa: E501
'What is the number of [sound events,sounds] that are [roughly,approximately] as <D> as the <S> <A> [did,could] you [hear,listen to]?', # noqa: E501
'What is the number of [sound events,sounds] that are [roughly,approximately] as <D> as the <S> <A> have you heard?', # noqa: E501
'What is the number of [sound events,sounds] that have [roughly,approximately] the same duration as the <S> <A>?', # noqa: E501
'What is the number of [sound events,sounds] that have [roughly,approximately] the same duration as the <S> <A> [did,could] you [hear,listen to]?', # noqa: E501
'What is the number of [sound events,sounds] that have [roughly,approximately] the same duration as the <S> <A> have you heard?', # noqa: E501
'There is [a,an] <S> <A>; how many [sound events,sounds] that are [roughly,approximately] as <D>?', # noqa: E501
'There is [a,an] <S> <A>; what is the number of [sound events,sounds] that are [roughly,approximately] as <D>?', # noqa: E501
]
question = str(np.random.choice(questions)) # sample question
duration = sample_duration() # sample duration
lst_events = get_lst_events(narrative)
unique_lst_events = [e for e in lst_events if lst_events.count(e) == 1]
assert len(unique_lst_events) > 0, \
'Question (how_many_sounds_duration_event) illposed.'
event = str(np.random.choice(unique_lst_events))
source = str(np.random.choice(dataset['sources'][event])) # sample source
action = str(np.random.choice(dataset['actions'][event])) # sample action
question = question.replace('<D>', duration) # insert duration
question = question.replace('<S>', source) # insert source
question = question.replace('<A>', action) # insert action
question = sanitize_question(question) # correct grammar
assert lst_events.count(event) == 1, \
'Question (how_many_sounds_duration_event) illposed.'
lst_durations = get_lst_durations(narrative)
event_idx = lst_events.index(event)
evt_duration = lst_durations[event_idx]
x_durations = [j for i, j in enumerate(lst_durations) if i != event_idx]
rel_durations_diff = compute_rel_diff(np.array(x_durations),
np.array(evt_duration))
# Assert a good margin in relative loudness
assert np.sum(np.logical_and(rel_durations_diff > rel_diff,
rel_durations_diff < (2 * rel_diff))) <= 0, \
'Question (how_many_sounds_duration_event) illposed.'
answer = numbers_to_words(np.sum(rel_durations_diff <= rel_diff))
return question, answer
def how_many_event_relative(dataset, narrative, _):
questions = ['How many <S1>s <A1> <RO> the <S2> <A2> were there?',
'How many <S1>s <A1> <RO> the <S2> <A2> [did,could] you [hear,listen to]?', # noqa: E501
'How many <S1>s <A1> <RO> the <S2> <A2> have you [heard,listened to]?', # noqa: E501
'What is the number of <S1>s <A1> <RO> the <S2> <A2>?',
'What is the number of <S1>s <A1> <RO> the <S2> <A2> [did,could] you [hear,listen to]?', # noqa: E501
'What is the number of <S1>s <A1> <RO> the <S2> <A2> have you [heard,listened to]?', # noqa: E501
'There is [a,an] <S2> <A2>; how many <S1>s <A1> [did,could] you hear <RO>?', # noqa: E501
'There is [a,an] <S2> <A2>; how many <S1>s <A1> have you heard <RO>?', # noqa: E501
'There is [a,an] <S2> <A2>; what is the number of <S1>s <A1> [did,could] you hear <RO>?', # noqa: E501
]
question = str(np.random.choice(questions)) # sample question
event_1 = str(np.random.choice(dataset['events'])) # sample event
source_1 = str(np.random.choice(dataset['sources'][event_1]))
action_1 = str(np.random.choice(dataset['actions'][event_1]))
preposition = sample_preposition()
lst_events = get_lst_events(narrative)
unique_lst_events = [e for e in lst_events if lst_events.count(e) == 1]
unique_lst_events = [e for e in unique_lst_events if e != event_1]
assert len(unique_lst_events) > 0, \
'Question (how_many_event_relative) illposed.'
event_2 = str(np.random.choice(unique_lst_events))
source_2 = str(np.random.choice(dataset['sources'][event_2]))
action_2 = str(np.random.choice(dataset['actions'][event_2]))
question = question.replace('<S1>', source_1) # insert source
question = question.replace('<A1>', action_1) # insert action
question = question.replace('<RO>', preposition) # insert preposition
question = question.replace('<S2>', source_2) # insert source
question = question.replace('<A2>', action_2) # insert action
question = sanitize_question(question) # correct grammar
assert lst_events.count(event_2) == 1, \
'Question (how_many_event_relative) illposed.'
event_2_idx = lst_events.index(event_2)
if 'before' in question:
lst_events_e = lst_events[:event_2_idx]
elif 'after' in question:
lst_events_e = lst_events[(event_2_idx + 1):]
else:
assert False, \
'Relative preposition illdefined in Question (how_many_event_relative).'
answer = numbers_to_words(lst_events_e.count(event_1))
return question, answer
def how_many(dataset, narrative, _):
questions = ['How many [sound events,sounds] were there?',
'How many [sound events,sounds] [did,could] you [hear,listen to]?',
'How many [sound events,sounds] have you [heard,listened to]?',
'What is the number of [sound events,sounds]?',
'What is the number of [sound events,sounds] [did,could] you [hear,listen to]?', # noqa: E501
'What is the number of [sound events,sounds] have you [heard,listened to]?', # noqa: E501
]
question = str(np.random.choice(questions)) # sample question
question = sanitize_question(question) # correct grammar
lst_events = get_lst_events(narrative)
answer = numbers_to_words(len(lst_events))
return question, answer
def how_many_ordinal(dataset, narrative, _):
questions = ['How many times did you [hear,listen to] a sound that [sounded,seemed] like the <O> [sound event,sound]?', # noqa: E501
'What is the number of times did you [hear,listen to] a sound that [sounded,seemed] like the <O> [sound event,sound]?', # noqa: E501
'[Hearing,Listening to] the <O> [sound event,sound], how many sounds were [the same, similar]?', # noqa: E501
'[Hearing,Listening to] the <O> [sound event,sound], what is the number of sounds that were [the same, similar]?', # noqa: E501
]
question = str(np.random.choice(questions)) # sample question
lst_events = get_lst_events(narrative)
number, ordinal = sample_number(len(lst_events))
question = question.replace('<O>', ordinal) # insert ordinal
question = sanitize_question(question) # correct grammar
event = lst_events[number - 1]
answer = numbers_to_words(lst_events.count(event) - 1) # -1 for base event
return question, answer
def how_many_sounds_relative(dataset, narrative, _):
questions = ['How many [sound events,sounds] <RO> the <S> <A> were there?',
'How many [sound events,sounds] <RO> the <S> <A> [did,could] you [hear,listen to]?', # noqa: E501
'How many [sound events,sounds] <RO> the <S> <A> have you [heard,listened to]?', # noqa: E501
'What is the number of [sound events,sounds] <RO> the <S> <A>?',
'What is the number of [sound events,sounds] <RO> the <S> <A> [did,could] you [hear,listen to]?', # noqa: E501
'What is the number of [sound events,sounds] <RO> the <S> <A> have you [heard,listened to]?', # noqa: E501
'There is [a,an] <S> <A>; how many [sound events,sounds] [did,could] you hear <RO>?', # noqa: E501
'There is [a,an] <S> <A>; how many [sound events,sounds] have you heard <RO>?', # noqa: E501
'There is [a,an] <S> <A>; what is the number of [sound events,sounds] [did,could] you hear <RO>?', # noqa: E501
]
question = str(np.random.choice(questions)) # sample question
preposition = sample_preposition()
lst_events = get_lst_events(narrative)
unique_lst_events = [e for e in lst_events if lst_events.count(e) == 1]
assert len(unique_lst_events) > 0, \
'Question (how_many_sounds_relative) illposed.'
event = str(np.random.choice(unique_lst_events))
source = str(np.random.choice(dataset['sources'][event])) # sample source
action = str(np.random.choice(dataset['actions'][event])) # sample action
question = question.replace('<RO>', preposition) # insert preposition
question = question.replace('<S>', source) # insert source
question = question.replace('<A>', action) # insert action
question = sanitize_question(question) # correct grammar
assert lst_events.count(event) == 1, \
'Question (how_many_sounds_relative) illposed.'
event_idx = lst_events.index(event)
if 'before' in question:
lst_events_e = lst_events[:event_idx]
elif 'after' in question:
lst_events_e = lst_events[(event_idx + 1):]
else:
assert False, \
'Preposition illdefined in Question (how_many_sounds_relative).'
answer = numbers_to_words(len(lst_events_e))
return question, answer
def how_many_event(dataset, narrative, _):
questions = ['How many times was [a,an] <S> <A>?',
'How many times did you [hear,listen to] [a,an] <S> <A>?',
'How many times have you [heard,listened to] [a,an] <S> <A>?',
'What is the number of times [a,an] <S> <A>?',
'What is the number of times did you [hear,listen to] [a,an] <S> <A>?', # noqa: E501
'What is the number of times you [heard,listened to] [a,an] <S> <A>?', # noqa: E501
]
question = str(np.random.choice(questions)) # sample question
lst_events = get_lst_events(narrative)
event = str(np.random.choice(lst_events))
source = str(np.random.choice(dataset['sources'][event])) # sample source
action = str(np.random.choice(dataset['actions'][event])) # sample action
question = question.replace('<S>', source) # insert source
question = question.replace('<A>', action) # insert action
question = sanitize_question(question) # correct grammar
answer = numbers_to_words(lst_events.count(event))
return question, answer
def how_many_sounds_relative_ordinal(dataset, narrative, _):
questions = ['How many [sound events,sounds] after the <O> [sound event,sound] were there?', # noqa: E501
'How many [sound events,sounds] after the <O> [sound event,sound] [did,could] you [hear,listen to]?', # noqa: E501
'How many [sound events,sounds] after the <O> [sound event,sound] have you [heard,listened to]?', # noqa: E501
'What is the number of [sound events,sounds] after the <O> [sound event,sound]?', # noqa: E501
'What is the number of [sound events,sounds] after the <O> [sound event,sound] [did,could] you [hear,listen to]?', # noqa: E501
'What is the number of [sound events,sounds] after the <O> [sound event,sound] have you [heard,listened to]?', # noqa: E501
]
question = str(np.random.choice(questions)) # sample question
lst_events = get_lst_events(narrative)
number, ordinal = sample_number(len(lst_events))
question = question.replace('<O>', ordinal) # insert ordinal
question = sanitize_question(question) # correct grammar
assert number < (len(lst_events) - 1), \
'Question (how_many_sounds_relative_ordinal) illposed.'
lst_events_e = lst_events[number:]
answer = numbers_to_words(len(lst_events_e))
return question, answer
def how_many_sounds_duration_ordinal(dataset, narrative, rel_diff=0.1):
questions = ['How many [sound events,sounds] [roughly,approximately] as <D> as the <O> sound?', # noqa: E501
'How many [sound events,sounds] that are [roughly,approximately] as <D> as the <O> sound?', # noqa: E501
'How many [sound events,sounds] that are [roughly,approximately] as <D> as the <O> sound [did,could] you [hear,listen to]?', # noqa: E501
'How many [sound events,sounds] that are [roughly,approximately] as <D> as the <O> sound have you heard?', # noqa: E501
'How many [sound events,sounds] that have [roughly,approximately] the same duration as the <O> sound?', # noqa: E501
'How many [sound events,sounds] that have [roughly,approximately] the same duration as the <O> sound [did,could] you [hear,listen to]?', # noqa: E501
'How many [sound events,sounds] that have [roughly,approximately] the same duration as the <O> sound have you heard?', # noqa: E501
'What is the number of [sound events,sounds] [roughly,approximately] as <D> as the <O> sound?', # noqa: E501
'What is the number of [sound events,sounds] that are [roughly,approximately] as <D> as the <O> sound?', # noqa: E501
'What is the number of [sound events,sounds] that are [roughly,approximately] as <D> as the <O> sound [did,could] you [hear,listen to]?', # noqa: E501
'What is the number of [sound events,sounds] that are [roughly,approximately] as <D> as the <O> sound have you heard?', # noqa: E501
'What is the number of [sound events,sounds] that have [roughly,approximately] the same duration as the <O> sound?', # noqa: E501
'What is the number of [sound events,sounds] that have [roughly,approximately] the same duration as the <O> sound [did,could] you [hear,listen to]?', # noqa: E501
'What is the number of [sound events,sounds] that have [roughly,approximately] the same duration as the <O> sound have you heard?', # noqa: E501
]
question = str(np.random.choice(questions)) # sample question
duration = sample_duration() # sample duration
lst_events = get_lst_events(narrative)
number, ordinal = sample_number(len(lst_events))
question = question.replace('<D>', duration) # insert duration
question = question.replace('<O>', ordinal) # insert ordinal
question = sanitize_question(question) # correct grammar
lst_durations = get_lst_durations(narrative)
evt_duration = lst_durations[number - 1]
x_durations = [j for i, j in enumerate(lst_durations) if i != (number - 1)]
rel_durations_diff = compute_rel_diff(np.array(x_durations),
np.array(evt_duration))
# Assert a good margin in relative loudness
assert np.sum(np.logical_and(rel_durations_diff > rel_diff,
rel_durations_diff < (2 * rel_diff))) <= 0, \
'Question (how_many_sounds_duration_ordinal) illposed.'
answer = numbers_to_words(np.sum(rel_durations_diff <= rel_diff))
return question, answer
def how_many_event_relative_ordinal(dataset, narrative, _):
questions = ['How many <S>s <A> <RO> the <O> [sound event,sound] were there?',
'How many <S>s <A> <RO> the <O> [sound event,sound] [did,could] you [hear,listen to]?', # noqa: E501
'How many <S>s <A> <RO> the <O> [sound event,sound] have you [heard,listened to]?', # noqa: E501
'What is the number of <S>s <A> <RO> the <O> [sound event,sound]?',
'What is the number of <S>s <A> <RO> the <O> [sound event,sound] [did,could] you [hear,listen to]?', # noqa: E501
'What is the number of <S>s <A> <RO> the <O> [sound event,sound] have you [heard,listened to]?', # noqa: E501
]
question = str(np.random.choice(questions)) # sample question
event = str(np.random.choice(dataset['events'])) # sample event
source = str(np.random.choice(dataset['sources'][event]))
action = str(np.random.choice(dataset['actions'][event]))
preposition = sample_preposition()
lst_events = get_lst_events(narrative)
number, ordinal = sample_number(len(lst_events))
question = question.replace('<S>', source) # insert source
question = question.replace('<A>', action) # insert action
question = question.replace('<RO>', preposition) # insert preposition
question = question.replace('<O>', ordinal) # insert ordinal
question = sanitize_question(question) # correct grammar
if 'before' in question:
assert number > 1, 'Question (how_many_event_relative_ordinal) illposed.'
lst_events_e = lst_events[:(number - 1)]
elif 'after' in question:
assert number < (len(lst_events) - 1), \
'Question (how_many_event_relative_ordinal) illposed.'
lst_events_e = lst_events[number:]
else:
assert False, \
'Relative preposition illdefined in Question (how_many_event_relative_ordinal).' # noqa: E501
answer = numbers_to_words(lst_events_e.count(event))
return question, answer
