suite_name
stringlengths
4
21
item_number
int32
1
40
conditions
sequence
predictions
sequence
npi_src_any
37
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No secretaries that praised the customer have missed any appointments", "No secretaries that praised no customer have missed any appointments", "The secretaries that praised the customer have missed any appointments", "The secretaries that praised no customer have missed any appointments" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "secretaries", "that", "praised", "the", "customer", "have missed", "any", "appointments" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "secretaries", "that", "praised", "no", "customer", "have missed", "any", "appointments" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "secretaries", "that", "praised", "the", "customer", "have missed", "any", "appointments" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "secretaries", "that", "praised", "no", "customer", "have missed", "any", "appointments" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_any
38
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No executives that hated the officer have refused any compensation", "No executives that hated no officer have refused any compensation", "The executives that hated the officer have refused any compensation", "The executives that hated no officer have refused any compensation" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "executives", "that", "hated", "the", "officer", "have refused", "any", "compensation" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "executives", "that", "hated", "no", "officer", "have refused", "any", "compensation" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "executives", "that", "hated", "the", "officer", "have refused", "any", "compensation" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "executives", "that", "hated", "no", "officer", "have refused", "any", "compensation" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
1
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No author that liked the senators has ever been popular", "No author that liked no senators has ever been popular", "The author that liked the senators has ever been popular", "The author that liked no senators has ever been popular" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "author", "that", "liked", "the", "senators", "has", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "author", "that", "liked", "no", "senators", "has", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "author", "that", "liked", "the", "senators", "has", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "author", "that", "liked", "no", "senators", "has", "ever", "been popular" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
2
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No pilot that met the consultants has ever been famous", "No pilot that met no consultants has ever been famous", "The pilot that met the consultants has ever been famous", "The pilot that met no consultants has ever been famous" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "pilot", "that", "met", "the", "consultants", "has", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "pilot", "that", "met", "no", "consultants", "has", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "pilot", "that", "met", "the", "consultants", "has", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "pilot", "that", "met", "no", "consultants", "has", "ever", "been famous" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
3
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No doctor that hated the guards has ever had children", "No doctor that hated no guards has ever had children", "The doctor that hated the guards has ever had children", "The doctor that hated no guards has ever had children" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "doctor", "that", "hated", "the", "guards", "has", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "doctor", "that", "hated", "no", "guards", "has", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "doctor", "that", "hated", "the", "guards", "has", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "doctor", "that", "hated", "no", "guards", "has", "ever", "had children" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
4
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No farmer that discussed the clerks has ever been appreciated", "No farmer that discussed no clerks has ever been appreciated", "The farmer that discussed the clerks has ever been appreciated", "The farmer that discussed no clerks has ever been appreciated" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "farmer", "that", "discussed", "the", "clerks", "has", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "farmer", "that", "discussed", "no", "clerks", "has", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "farmer", "that", "discussed", "the", "clerks", "has", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "farmer", "that", "discussed", "no", "clerks", "has", "ever", "been appreciated" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
5
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No manager that loved the architects has ever been ignored", "No manager that loved no architects has ever been ignored", "The manager that loved the architects has ever been ignored", "The manager that loved no architects has ever been ignored" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "manager", "that", "loved", "the", "architects", "has", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "manager", "that", "loved", "no", "architects", "has", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "manager", "that", "loved", "the", "architects", "has", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "manager", "that", "loved", "no", "architects", "has", "ever", "been ignored" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
6
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No customer that liked the athletes has ever gotten old", "No customer that liked no athletes has ever gotten old", "The customer that liked the athletes has ever gotten old", "The customer that liked no athletes has ever gotten old" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "customer", "that", "liked", "the", "athletes", "has", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "customer", "that", "liked", "no", "athletes", "has", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "customer", "that", "liked", "the", "athletes", "has", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "customer", "that", "liked", "no", "athletes", "has", "ever", "gotten old" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
7
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No officer that met the actors has ever been popular", "No officer that met no actors has ever been popular", "The officer that met the actors has ever been popular", "The officer that met no actors has ever been popular" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "officer", "that", "met", "the", "actors", "has", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "officer", "that", "met", "no", "actors", "has", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "officer", "that", "met", "the", "actors", "has", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "officer", "that", "met", "no", "actors", "has", "ever", "been popular" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
8
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No teacher that hated the ministers has ever been famous", "No teacher that hated no ministers has ever been famous", "The teacher that hated the ministers has ever been famous", "The teacher that hated no ministers has ever been famous" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "teacher", "that", "hated", "the", "ministers", "has", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "teacher", "that", "hated", "no", "ministers", "has", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "teacher", "that", "hated", "the", "ministers", "has", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "teacher", "that", "hated", "no", "ministers", "has", "ever", "been famous" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
9
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No senator that admired the taxi drivers has ever had children", "No senator that admired no taxi drivers has ever had children", "The senator that admired the taxi drivers has ever had children", "The senator that admired no taxi drivers has ever had children" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "senator", "that", "admired", "the", "taxi drivers", "has", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "senator", "that", "admired", "no", "taxi drivers", "has", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "senator", "that", "admired", "the", "taxi drivers", "has", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "senator", "that", "admired", "no", "taxi drivers", "has", "ever", "had children" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
10
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No consultant that loved the secretaries has ever been appreciated", "No consultant that loved no secretaries has ever been appreciated", "The consultant that loved the secretaries has ever been appreciated", "The consultant that loved no secretaries has ever been appreciated" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "consultant", "that", "loved", "the", "secretaries", "has", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "consultant", "that", "loved", "no", "secretaries", "has", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "consultant", "that", "loved", "the", "secretaries", "has", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "consultant", "that", "loved", "no", "secretaries", "has", "ever", "been appreciated" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
11
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No guard that liked the executives has ever been ignored", "No guard that liked no executives has ever been ignored", "The guard that liked the executives has ever been ignored", "The guard that liked no executives has ever been ignored" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "guard", "that", "liked", "the", "executives", "has", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "guard", "that", "liked", "no", "executives", "has", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "guard", "that", "liked", "the", "executives", "has", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "guard", "that", "liked", "no", "executives", "has", "ever", "been ignored" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
12
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No clerk that met the authors has ever gotten old", "No clerk that met no authors has ever gotten old", "The clerk that met the authors has ever gotten old", "The clerk that met no authors has ever gotten old" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "clerk", "that", "met", "the", "authors", "has", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "clerk", "that", "met", "no", "authors", "has", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "clerk", "that", "met", "the", "authors", "has", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "clerk", "that", "met", "no", "authors", "has", "ever", "gotten old" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
13
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No architect that hated the pilots has ever been popular", "No architect that hated no pilots has ever been popular", "The architect that hated the pilots has ever been popular", "The architect that hated no pilots has ever been popular" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "architect", "that", "hated", "the", "pilots", "has", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "architect", "that", "hated", "no", "pilots", "has", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "architect", "that", "hated", "the", "pilots", "has", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "architect", "that", "hated", "no", "pilots", "has", "ever", "been popular" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
14
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No athlete that helped the doctors has ever been famous", "No athlete that helped no doctors has ever been famous", "The athlete that helped the doctors has ever been famous", "The athlete that helped no doctors has ever been famous" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "athlete", "that", "helped", "the", "doctors", "has", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "athlete", "that", "helped", "no", "doctors", "has", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "athlete", "that", "helped", "the", "doctors", "has", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "athlete", "that", "helped", "no", "doctors", "has", "ever", "been famous" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
15
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No actor that loved the farmers has ever had children", "No actor that loved no farmers has ever had children", "The actor that loved the farmers has ever had children", "The actor that loved no farmers has ever had children" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "actor", "that", "loved", "the", "farmers", "has", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "actor", "that", "loved", "no", "farmers", "has", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "actor", "that", "loved", "the", "farmers", "has", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "actor", "that", "loved", "no", "farmers", "has", "ever", "had children" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
16
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No minister that liked the managers has ever been appreciated", "No minister that liked no managers has ever been appreciated", "The minister that liked the managers has ever been appreciated", "The minister that liked no managers has ever been appreciated" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "minister", "that", "liked", "the", "managers", "has", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "minister", "that", "liked", "no", "managers", "has", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "minister", "that", "liked", "the", "managers", "has", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "minister", "that", "liked", "no", "managers", "has", "ever", "been appreciated" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
17
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No taxi driver that met the customers has ever been ignored", "No taxi driver that met no customers has ever been ignored", "The taxi driver that met the customers has ever been ignored", "The taxi driver that met no customers has ever been ignored" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "taxi driver", "that", "met", "the", "customers", "has", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "taxi driver", "that", "met", "no", "customers", "has", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "taxi driver", "that", "met", "the", "customers", "has", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "taxi driver", "that", "met", "no", "customers", "has", "ever", "been ignored" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
18
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No secretary that hated the officers has ever gotten old", "No secretary that hated no officers has ever gotten old", "The secretary that hated the officers has ever gotten old", "The secretary that hated no officers has ever gotten old" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "secretary", "that", "hated", "the", "officers", "has", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "secretary", "that", "hated", "no", "officers", "has", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "secretary", "that", "hated", "the", "officers", "has", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "secretary", "that", "hated", "no", "officers", "has", "ever", "gotten old" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
19
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No executive that discussed the teachers has ever been popular", "No executive that discussed no teachers has ever been popular", "The executive that discussed the teachers has ever been popular", "The executive that discussed no teachers has ever been popular" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "executive", "that", "discussed", "the", "teachers", "has", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "executive", "that", "discussed", "no", "teachers", "has", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "executive", "that", "discussed", "the", "teachers", "has", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "executive", "that", "discussed", "no", "teachers", "has", "ever", "been popular" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
20
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No authors that loved the officer have ever been famous", "No authors that loved no officer have ever been famous", "The authors that loved the officer have ever been famous", "The authors that loved no officer have ever been famous" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "authors", "that", "loved", "the", "officer", "have", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "authors", "that", "loved", "no", "officer", "have", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "authors", "that", "loved", "the", "officer", "have", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "authors", "that", "loved", "no", "officer", "have", "ever", "been famous" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
21
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No pilots that liked the teacher have ever had children", "No pilots that liked no teacher have ever had children", "The pilots that liked the teacher have ever had children", "The pilots that liked no teacher have ever had children" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "pilots", "that", "liked", "the", "teacher", "have", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "pilots", "that", "liked", "no", "teacher", "have", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "pilots", "that", "liked", "the", "teacher", "have", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "pilots", "that", "liked", "no", "teacher", "have", "ever", "had children" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
22
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No doctors that met the senator have ever been appreciated", "No doctors that met no senator have ever been appreciated", "The doctors that met the senator have ever been appreciated", "The doctors that met no senator have ever been appreciated" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "doctors", "that", "met", "the", "senator", "have", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "doctors", "that", "met", "no", "senator", "have", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "doctors", "that", "met", "the", "senator", "have", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "doctors", "that", "met", "no", "senator", "have", "ever", "been appreciated" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
23
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No farmers that hated the consultant have ever been ignored", "No farmers that hated no consultant have ever been ignored", "The farmers that hated the consultant have ever been ignored", "The farmers that hated no consultant have ever been ignored" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "farmers", "that", "hated", "the", "consultant", "have", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "farmers", "that", "hated", "no", "consultant", "have", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "farmers", "that", "hated", "the", "consultant", "have", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "farmers", "that", "hated", "no", "consultant", "have", "ever", "been ignored" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
24
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No managers that respected the guard have ever gotten old", "No managers that respected no guard have ever gotten old", "The managers that respected the guard have ever gotten old", "The managers that respected no guard have ever gotten old" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "managers", "that", "respected", "the", "guard", "have", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "managers", "that", "respected", "no", "guard", "have", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "managers", "that", "respected", "the", "guard", "have", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "managers", "that", "respected", "no", "guard", "have", "ever", "gotten old" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
25
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No customers that loved the clerk have ever been popular", "No customers that loved no clerk have ever been popular", "The customers that loved the clerk have ever been popular", "The customers that loved no clerk have ever been popular" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "customers", "that", "loved", "the", "clerk", "have", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "customers", "that", "loved", "no", "clerk", "have", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "customers", "that", "loved", "the", "clerk", "have", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "customers", "that", "loved", "no", "clerk", "have", "ever", "been popular" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
26
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No officers that liked the architect have ever been famous", "No officers that liked no architect have ever been famous", "The officers that liked the architect have ever been famous", "The officers that liked no architect have ever been famous" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "officers", "that", "liked", "the", "architect", "have", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "officers", "that", "liked", "no", "architect", "have", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "officers", "that", "liked", "the", "architect", "have", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "officers", "that", "liked", "no", "architect", "have", "ever", "been famous" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
27
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No teachers that met the athlete have ever had children", "No teachers that met no athlete have ever had children", "The teachers that met the athlete have ever had children", "The teachers that met no athlete have ever had children" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "teachers", "that", "met", "the", "athlete", "have", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "teachers", "that", "met", "no", "athlete", "have", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "teachers", "that", "met", "the", "athlete", "have", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "teachers", "that", "met", "no", "athlete", "have", "ever", "had children" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
28
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No senators that hated the actor have ever been appreciated", "No senators that hated no actor have ever been appreciated", "The senators that hated the actor have ever been appreciated", "The senators that hated no actor have ever been appreciated" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "senators", "that", "hated", "the", "actor", "have", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "senators", "that", "hated", "no", "actor", "have", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "senators", "that", "hated", "the", "actor", "have", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "senators", "that", "hated", "no", "actor", "have", "ever", "been appreciated" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
29
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No consultants that impressed the minister have ever been ignored", "No consultants that impressed no minister have ever been ignored", "The consultants that impressed the minister have ever been ignored", "The consultants that impressed no minister have ever been ignored" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "consultants", "that", "impressed", "the", "minister", "have", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "consultants", "that", "impressed", "no", "minister", "have", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "consultants", "that", "impressed", "the", "minister", "have", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "consultants", "that", "impressed", "no", "minister", "have", "ever", "been ignored" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
30
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No guards that loved the taxi driver have ever gotten old", "No guards that loved no taxi driver have ever gotten old", "The guards that loved the taxi driver have ever gotten old", "The guards that loved no taxi driver have ever gotten old" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "guards", "that", "loved", "the", "taxi driver", "have", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "guards", "that", "loved", "no", "taxi driver", "have", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "guards", "that", "loved", "the", "taxi driver", "have", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "guards", "that", "loved", "no", "taxi driver", "have", "ever", "gotten old" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
31
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No clerks that liked the secretary have ever been popular", "No clerks that liked no secretary have ever been popular", "The clerks that liked the secretary have ever been popular", "The clerks that liked no secretary have ever been popular" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "clerks", "that", "liked", "the", "secretary", "have", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "clerks", "that", "liked", "no", "secretary", "have", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "clerks", "that", "liked", "the", "secretary", "have", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "clerks", "that", "liked", "no", "secretary", "have", "ever", "been popular" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
32
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No architects that met the executive have ever been famous", "No architects that met no executive have ever been famous", "The architects that met the executive have ever been famous", "The architects that met no executive have ever been famous" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "architects", "that", "met", "the", "executive", "have", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "architects", "that", "met", "no", "executive", "have", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "architects", "that", "met", "the", "executive", "have", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "architects", "that", "met", "no", "executive", "have", "ever", "been famous" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
33
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No athletes that hated the pilot have ever had children", "No athletes that hated no pilot have ever had children", "The athletes that hated the pilot have ever had children", "The athletes that hated no pilot have ever had children" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "athletes", "that", "hated", "the", "pilot", "have", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "athletes", "that", "hated", "no", "pilot", "have", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "athletes", "that", "hated", "the", "pilot", "have", "ever", "had children" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "athletes", "that", "hated", "no", "pilot", "have", "ever", "had children" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
34
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No journalists that contacted the doctor have ever been appreciated", "No journalists that contacted no doctor have ever been appreciated", "The journalists that contacted the doctor have ever been appreciated", "The journalists that contacted no doctor have ever been appreciated" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "journalists", "that", "contacted", "the", "doctor", "have", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "journalists", "that", "contacted", "no", "doctor", "have", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "journalists", "that", "contacted", "the", "doctor", "have", "ever", "been appreciated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "journalists", "that", "contacted", "no", "doctor", "have", "ever", "been appreciated" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
35
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No ministers that loved the farmer have ever been ignored", "No ministers that loved no farmer have ever been ignored", "The ministers that loved the farmer have ever been ignored", "The ministers that loved no farmer have ever been ignored" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "ministers", "that", "loved", "the", "farmer", "have", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "ministers", "that", "loved", "no", "farmer", "have", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "ministers", "that", "loved", "the", "farmer", "have", "ever", "been ignored" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "ministers", "that", "loved", "no", "farmer", "have", "ever", "been ignored" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
36
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No taxi drivers that liked the manager have ever gotten old", "No taxi drivers that liked no manager have ever gotten old", "The taxi drivers that liked the manager have ever gotten old", "The taxi drivers that liked no manager have ever gotten old" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "taxi drivers", "that", "liked", "the", "manager", "have", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "taxi drivers", "that", "liked", "no", "manager", "have", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "taxi drivers", "that", "liked", "the", "manager", "have", "ever", "gotten old" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "taxi drivers", "that", "liked", "no", "manager", "have", "ever", "gotten old" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
37
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No secretaries that met the customer have ever been popular", "No secretaries that met no customer have ever been popular", "The secretaries that met the customer have ever been popular", "The secretaries that met no customer have ever been popular" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "secretaries", "that", "met", "the", "customer", "have", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "secretaries", "that", "met", "no", "customer", "have", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "secretaries", "that", "met", "the", "customer", "have", "ever", "been popular" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "secretaries", "that", "met", "no", "customer", "have", "ever", "been popular" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npi_src_ever
38
{ "condition_name": [ "neg_pos", "neg_neg", "pos_pos", "pos_neg" ], "content": [ "No executives that hated the officer have ever been famous", "No executives that hated no officer have ever been famous", "The executives that hated the officer have ever been famous", "The executives that hated no officer have ever been famous" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "executives", "that", "hated", "the", "officer", "have", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "No", "executives", "that", "hated", "no", "officer", "have", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "executives", "that", "hated", "the", "officer", "have", "ever", "been famous" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "content": [ "The", "executives", "that", "hated", "no", "officer", "have", "ever", "been famous" ] } ] }
[ "( (8;%neg_pos%) < (8;%pos_pos%) ) & ( (8;%neg_neg%) < (8;%pos_neg%) ) & ( (8;%neg_pos%) < (8;%pos_neg%) )" ]
npz_ambig
1
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "As the criminal shot the woman yelled at the top of her lungs", "As the criminal fled the woman yelled at the top of her lungs", "As the criminal shot, the woman yelled at the top of her lungs", "As the criminal fled, the woman yelled at the top of her lungs" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the criminal", "shot", "", "the woman", "yelled", "at the top of her lungs" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the criminal", "fled", "", "the woman", "yelled", "at the top of her lungs" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the criminal", "shot", ",", "the woman", "yelled", "at the top of her lungs" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the criminal", "fled", ",", "the woman", "yelled", "at the top of her lungs" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
2
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "When the dog bit the doctor took off the restraint", "When the dog struggled the doctor took off the restraint", "When the dog bit, the doctor took off the restraint", "When the dog struggled, the doctor took off the restraint" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the dog", "bit", "", "the doctor", "took off", "the restraint" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the dog", "struggled", "", "the doctor", "took off", "the restraint" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the dog", "bit", ",", "the doctor", "took off", "the restraint" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the dog", "struggled", ",", "the doctor", "took off", "the restraint" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
3
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "As the ship crossed the waters remained blue and calm", "As the ship drifted the waters remained blue and calm", "As the ship crossed, the waters remained blue and calm", "As the ship drifted, the waters remained blue and calm" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the ship", "crossed", "", "the waters", "remained", "blue and calm" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the ship", "drifted", "", "the waters", "remained", "blue and calm" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the ship", "crossed", ",", "the waters", "remained", "blue and calm" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the ship", "drifted", ",", "the waters", "remained", "blue and calm" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
4
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the newcomers asked the soldiers shared a cigarette", "After the newcomers negotiated the soldiers shared a cigarette", "After the newcomers asked, the soldiers shared a cigarette", "After the newcomers negotiated, the soldiers shared a cigarette" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the newcomers", "asked", "", "the soldiers", "shared", "a cigarette" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the newcomers", "negotiated", "", "the soldiers", "shared", "a cigarette" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the newcomers", "asked", ",", "the soldiers", "shared", "a cigarette" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the newcomers", "negotiated", ",", "the soldiers", "shared", "a cigarette" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
5
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "Though the athlete telephoned the coach refused to praise him", "Though the athlete complained the coach refused to praise him", "Though the athlete telephoned, the coach refused to praise him", "Though the athlete complained, the coach refused to praise him" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Though the athlete", "telephoned", "", "the coach", "refused", "to praise him" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Though the athlete", "complained", "", "the coach", "refused", "to praise him" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Though the athlete", "telephoned", ",", "the coach", "refused", "to praise him" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Though the athlete", "complained", ",", "the coach", "refused", "to praise him" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
6
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "While the crowd applauded the actor relaxed on a chair", "While the crowd yelled the actor relaxed on a chair", "While the crowd applauded, the actor relaxed on a chair", "While the crowd yelled, the actor relaxed on a chair" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the crowd", "applauded", "", "the actor", "relaxed", "on a chair" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the crowd", "yelled", "", "the actor", "relaxed", "on a chair" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the crowd", "applauded", ",", "the actor", "relaxed", "on a chair" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the crowd", "yelled", ",", "the actor", "relaxed", "on a chair" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
7
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "While the audience cheered the actor delivered his speech", "While the audience arrived the actor delivered his speech", "While the audience cheered, the actor delivered his speech", "While the audience arrived, the actor delivered his speech" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the audience", "cheered", "", "the actor", "delivered", "his speech" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the audience", "arrived", "", "the actor", "delivered", "his speech" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the audience", "cheered", ",", "the actor", "delivered", "his speech" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the audience", "arrived", ",", "the actor", "delivered", "his speech" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
8
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "While the students ate the food was removed", "While the students talked the food was removed", "While the students ate, the food was removed", "While the students talked, the food was removed" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the students", "ate", "", "the food", "was", "removed" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the students", "talked", "", "the food", "was", "removed" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the students", "ate", ",", "the food", "was", "removed" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the students", "talked", ",", "the food", "was", "removed" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
9
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "When the professor taught the visitors lost interest", "When the professor talked the visitors lost interest", "When the professor taught, the visitors lost interest", "When the professor talked, the visitors lost interest" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the professor", "taught", "", "the visitors", "lost", "interest" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the professor", "talked", "", "the visitors", "lost", "interest" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the professor", "taught", ",", "the visitors", "lost", "interest" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the professor", "talked", ",", "the visitors", "lost", "interest" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
10
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "Because the baby grabbed the woman stayed until the end", "Because the baby yelled the woman stayed until the end", "Because the baby grabbed, the woman stayed until the end", "Because the baby yelled, the woman stayed until the end" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the baby", "grabbed", "", "the woman", "stayed", "until the end" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the baby", "yelled", "", "the woman", "stayed", "until the end" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the baby", "grabbed", ",", "the woman", "stayed", "until the end" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the baby", "yelled", ",", "the woman", "stayed", "until the end" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
11
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "Because the manager applauded the comedian began his act", "Because the manager departed the comedian began his act", "Because the manager applauded, the comedian began his act", "Because the manager departed, the comedian began his act" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the manager", "applauded", "", "the comedian", "began", "his act" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the manager", "departed", "", "the comedian", "began", "his act" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the manager", "applauded", ",", "the comedian", "began", "his act" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the manager", "departed", ",", "the comedian", "began", "his act" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
12
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the patient asked the nurse told her the news", "After the patient arrived the nurse told her the news", "After the patient asked, the nurse told her the news", "After the patient arrived, the nurse told her the news" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the patient", "asked", "", "the nurse", "told", "her the news" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the patient", "arrived", "", "the nurse", "told", "her the news" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the patient", "asked", ",", "the nurse", "told", "her the news" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the patient", "arrived", ",", "the nurse", "told", "her the news" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
13
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the guard visited the children jumped into the pool", "After the guard departed the children jumped into the pool", "After the guard visited, the children jumped into the pool", "After the guard departed, the children jumped into the pool" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the guard", "visited", "", "the children", "jumped", "into the pool" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the guard", "departed", "", "the children", "jumped", "into the pool" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the guard", "visited", ",", "the children", "jumped", "into the pool" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the guard", "departed", ",", "the children", "jumped", "into the pool" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
14
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the dog signaled the farmer went into the field", "After the dog went out the farmer went into the field", "After the dog signaled, the farmer went into the field", "After the dog went out, the farmer went into the field" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the dog", "signaled", "", "the farmer", "went", "into the field" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the dog", "went out", "", "the farmer", "went", "into the field" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the dog", "signaled", ",", "the farmer", "went", "into the field" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the dog", "went out", ",", "the farmer", "went", "into the field" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
15
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "As the students considered the teacher asked a question", "As the students slept the teacher asked a question", "As the students considered, the teacher asked a question", "As the students slept, the teacher asked a question" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the students", "considered", "", "the teacher", "asked", "a question" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the students", "slept", "", "the teacher", "asked", "a question" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the students", "considered", ",", "the teacher", "asked", "a question" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the students", "slept", ",", "the teacher", "asked", "a question" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
16
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "While the woman decorated the pot sat on the counter", "While the woman slept the pot sat on the counter", "While the woman decorated, the pot sat on the counter", "While the woman slept, the pot sat on the counter" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the woman", "decorated", "", "the pot", "sat", "on the counter" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the woman", "slept", "", "the pot", "sat", "on the counter" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the woman", "decorated", ",", "the pot", "sat", "on the counter" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the woman", "slept", ",", "the pot", "sat", "on the counter" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
17
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "When the customer interrupted the manager changed the advertisement", "When the customer complained the manager changed the advertisement", "When the customer interrupted, the manager changed the advertisement", "When the customer complained, the manager changed the advertisement" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the customer", "interrupted", "", "the manager", "changed", "the advertisement" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the customer", "complained", "", "the manager", "changed", "the advertisement" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the customer", "interrupted", ",", "the manager", "changed", "the advertisement" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the customer", "complained", ",", "the manager", "changed", "the advertisement" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
18
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "As the young man wiped the pipe fell to the floor", "As the young man slept the pipe fell to the floor", "As the young man wiped, the pipe fell to the floor", "As the young man slept, the pipe fell to the floor" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the young man", "wiped", "", "the pipe", "fell", "to the floor" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the young man", "slept", "", "the pipe", "fell", "to the floor" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the young man", "wiped", ",", "the pipe", "fell", "to the floor" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the young man", "slept", ",", "the pipe", "fell", "to the floor" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
19
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "While the prisoners watched the guards refused to negotiate", "While the prisoners looked the guards refused to negotiate", "While the prisoners watched, the guards refused to negotiate", "While the prisoners looked, the guards refused to negotiate" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the prisoners", "watched", "", "the guards", "refused", "to negotiate" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the prisoners", "looked", "", "the guards", "refused", "to negotiate" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the prisoners", "watched", ",", "the guards", "refused", "to negotiate" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the prisoners", "looked", ",", "the guards", "refused", "to negotiate" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
20
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "As long as the king governed his subjects feared his anger", "As long as the king yelled his subjects feared his anger", "As long as the king governed, his subjects feared his anger", "As long as the king yelled, his subjects feared his anger" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As long as the king", "governed", "", "his subjects", "feared", "his anger" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As long as the king", "yelled", "", "his subjects", "feared", "his anger" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As long as the king", "governed", ",", "his subjects", "feared", "his anger" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As long as the king", "yelled", ",", "his subjects", "feared", "his anger" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
21
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the host interrupted the discussion became more interesting", "After the host yelled the discussion became more interesting", "After the host interrupted, the discussion became more interesting", "After the host yelled, the discussion became more interesting" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the host", "interrupted", "", "the discussion", "became", "more interesting" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the host", "yelled", "", "the discussion", "became", "more interesting" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the host", "interrupted", ",", "the discussion", "became", "more interesting" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the host", "yelled", ",", "the discussion", "became", "more interesting" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
22
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the woman dressed her children thought she looked lovely", "After the woman departed her children thought she looked lovely", "After the woman dressed, her children thought she looked lovely", "After the woman departed, her children thought she looked lovely" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the woman", "dressed", "", "her children", "thought", "she looked lovely" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the woman", "departed", "", "her children", "thought", "she looked lovely" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the woman", "dressed", ",", "her children", "thought", "she looked lovely" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the woman", "departed", ",", "her children", "thought", "she looked lovely" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
23
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the soldier signaled the doctor ordered it to stop", "After the soldier complained the doctor ordered it to stop", "After the soldier signaled, the doctor ordered it to stop", "After the soldier complained, the doctor ordered it to stop" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the soldier", "signaled", "", "the doctor", "ordered", "it to stop" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the soldier", "complained", "", "the doctor", "ordered", "it to stop" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the soldier", "signaled", ",", "the doctor", "ordered", "it to stop" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the soldier", "complained", ",", "the doctor", "ordered", "it to stop" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig
24
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "As the guard stopped the thieves grabbed the money", "As the guard slept the thieves grabbed the money", "As the guard stopped, the thieves grabbed the money", "As the guard slept, the thieves grabbed the money" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the guard", "stopped", "", "the thieves", "grabbed", "the money" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the guard", "slept", "", "the thieves", "grabbed", "the money" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the guard", "stopped", ",", "the thieves", "grabbed", "the money" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the guard", "slept", ",", "the thieves", "grabbed", "the money" ] } ] }
[ "((5;%ambig_nocomma%) > (5;%ambig_comma%) ) & ((5;%ambig_nocomma%) > (5;%unambig_nocomma%) ) & (((5;%ambig_nocomma%) - (5;%ambig_comma%) ) > ((5;%unambig_nocomma%) - (5;%unambig_comma%) ))" ]
npz_ambig_mod
1
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "As the criminal shot the woman with her young daughters yelled at the top of her lungs", "As the criminal fled the woman with her young daughters yelled at the top of her lungs", "As the criminal shot, the woman with her young daughters yelled at the top of her lungs", "As the criminal fled, the woman with her young daughters yelled at the top of her lungs" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the criminal", "shot", "", "the woman", "with her young daughters", "yelled", "at the top of her lungs" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the criminal", "fled", "", "the woman", "with her young daughters", "yelled", "at the top of her lungs" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the criminal", "shot", ",", "the woman", "with her young daughters", "yelled", "at the top of her lungs" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the criminal", "fled", ",", "the woman", "with her young daughters", "yelled", "at the top of her lungs" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
2
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "When the dog bit the doctor with his new assistant took off the restraint", "When the dog struggled the doctor with his new assistant took off the restraint", "When the dog bit, the doctor with his new assistant took off the restraint", "When the dog struggled, the doctor with his new assistant took off the restraint" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "When the dog", "bit", "", "the doctor", "with his new assistant", "took off", "the restraint" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "When the dog", "struggled", "", "the doctor", "with his new assistant", "took off", "the restraint" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "When the dog", "bit", ",", "the doctor", "with his new assistant", "took off", "the restraint" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "When the dog", "struggled", ",", "the doctor", "with his new assistant", "took off", "the restraint" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
3
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "As the ship crossed the waters of the Atlantic Ocean remained blue and calm", "As the ship drifted the waters of the Atlantic Ocean remained blue and calm", "As the ship crossed, the waters of the Atlantic Ocean remained blue and calm", "As the ship drifted, the waters of the Atlantic Ocean remained blue and calm" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the ship", "crossed", "", "the waters", "of the Atlantic Ocean", "remained", "blue and calm" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the ship", "drifted", "", "the waters", "of the Atlantic Ocean", "remained", "blue and calm" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the ship", "crossed", ",", "the waters", "of the Atlantic Ocean", "remained", "blue and calm" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the ship", "drifted", ",", "the waters", "of the Atlantic Ocean", "remained", "blue and calm" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
4
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the newcomers asked the soldiers who sat by the fire shared a cigarette", "After the newcomers negotiated the soldiers who sat by the fire shared a cigarette", "After the newcomers asked, the soldiers who sat by the fire shared a cigarette", "After the newcomers negotiated, the soldiers who sat by the fire shared a cigarette" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the newcomers", "asked", "", "the soldiers", "who sat by the fire", "shared", "a cigarette" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the newcomers", "negotiated", "", "the soldiers", "who sat by the fire", "shared", "a cigarette" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the newcomers", "asked", ",", "the soldiers", "who sat by the fire", "shared", "a cigarette" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the newcomers", "negotiated", ",", "the soldiers", "who sat by the fire", "shared", "a cigarette" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
5
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "Though the athlete telephoned the coach of the team refused to praise him", "Though the athlete complained the coach of the team refused to praise him", "Though the athlete telephoned, the coach of the team refused to praise him", "Though the athlete complained, the coach of the team refused to praise him" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "Though the athlete", "telephoned", "", "the coach", "of the team", "refused", "to praise him" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "Though the athlete", "complained", "", "the coach", "of the team", "refused", "to praise him" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "Though the athlete", "telephoned", ",", "the coach", "of the team", "refused", "to praise him" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "Though the athlete", "complained", ",", "the coach", "of the team", "refused", "to praise him" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
6
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "While the crowd applauded the actor in the bizarre outfit relaxed on a chair", "While the crowd yelled the actor in the bizarre outfit relaxed on a chair", "While the crowd applauded, the actor in the bizarre outfit relaxed on a chair", "While the crowd yelled, the actor in the bizarre outfit relaxed on a chair" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the crowd", "applauded", "", "the actor", "in the bizarre outfit", "relaxed", "on a chair" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the crowd", "yelled", "", "the actor", "in the bizarre outfit", "relaxed", "on a chair" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the crowd", "applauded", ",", "the actor", "in the bizarre outfit", "relaxed", "on a chair" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the crowd", "yelled", ",", "the actor", "in the bizarre outfit", "relaxed", "on a chair" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
7
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "While the audience cheered the actor in the elegant dress delivered his speech", "While the audience arrived the actor in the elegant dress delivered his speech", "While the audience cheered, the actor in the elegant dress delivered his speech", "While the audience arrived, the actor in the elegant dress delivered his speech" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the audience", "cheered", "", "the actor", "in the elegant dress", "delivered", "his speech" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the audience", "arrived", "", "the actor", "in the elegant dress", "delivered", "his speech" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the audience", "cheered", ",", "the actor", "in the elegant dress", "delivered", "his speech" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the audience", "arrived", ",", "the actor", "in the elegant dress", "delivered", "his speech" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
8
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "While the students ate the food that looked so good was removed", "While the students talked the food that looked so good was removed", "While the students ate, the food that looked so good was removed", "While the students talked, the food that looked so good was removed" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the students", "ate", "", "the food", "that looked so good", "was", "removed" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the students", "talked", "", "the food", "that looked so good", "was", "removed" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the students", "ate", ",", "the food", "that looked so good", "was", "removed" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the students", "talked", ",", "the food", "that looked so good", "was", "removed" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
9
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "When the professor taught the visitors from the other school lost interest", "When the professor talked the visitors from the other school lost interest", "When the professor taught, the visitors from the other school lost interest", "When the professor talked, the visitors from the other school lost interest" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "When the professor", "taught", "", "the visitors", "from the other school", "lost", "interest" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "When the professor", "talked", "", "the visitors", "from the other school", "lost", "interest" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "When the professor", "taught", ",", "the visitors", "from the other school", "lost", "interest" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "When the professor", "talked", ",", "the visitors", "from the other school", "lost", "interest" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
10
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "Because the baby grabbed the woman standing next to her friend stayed until the end", "Because the baby yelled the woman standing next to her friend stayed until the end", "Because the baby grabbed, the woman standing next to her friend stayed until the end", "Because the baby yelled, the woman standing next to her friend stayed until the end" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "Because the baby", "grabbed", "", "the woman", "standing next to her friend", "stayed", "until the end" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "Because the baby", "yelled", "", "the woman", "standing next to her friend", "stayed", "until the end" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "Because the baby", "grabbed", ",", "the woman", "standing next to her friend", "stayed", "until the end" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "Because the baby", "yelled", ",", "the woman", "standing next to her friend", "stayed", "until the end" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
11
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "Because the manager applauded the comedian who told bad jokes began his act", "Because the manager departed the comedian who told bad jokes began his act", "Because the manager applauded, the comedian who told bad jokes began his act", "Because the manager departed, the comedian who told bad jokes began his act" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "Because the manager", "applauded", "", "the comedian", "who told bad jokes", "began", "his act" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "Because the manager", "departed", "", "the comedian", "who told bad jokes", "began", "his act" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "Because the manager", "applauded", ",", "the comedian", "who told bad jokes", "began", "his act" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "Because the manager", "departed", ",", "the comedian", "who told bad jokes", "began", "his act" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
12
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the patient asked the nurse who was very caring told her the news", "After the patient arrived the nurse who was very caring told her the news", "After the patient asked, the nurse who was very caring told her the news", "After the patient arrived, the nurse who was very caring told her the news" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the patient", "asked", "", "the nurse", "who was very caring", "told", "her the news" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the patient", "arrived", "", "the nurse", "who was very caring", "told", "her the news" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the patient", "asked", ",", "the nurse", "who was very caring", "told", "her the news" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the patient", "arrived", ",", "the nurse", "who was very caring", "told", "her the news" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
13
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the guard visited the children who were waiting jumped into the pool", "After the guard departed the children who were waiting jumped into the pool", "After the guard visited, the children who were waiting jumped into the pool", "After the guard departed, the children who were waiting jumped into the pool" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the guard", "visited", "", "the children", "who were waiting", "jumped", "into the pool" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the guard", "departed", "", "the children", "who were waiting", "jumped", "into the pool" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the guard", "visited", ",", "the children", "who were waiting", "jumped", "into the pool" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the guard", "departed", ",", "the children", "who were waiting", "jumped", "into the pool" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
14
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the dog signaled the farmer with the young boy went into the field", "After the dog went out the farmer with the young boy went into the field", "After the dog signaled, the farmer with the young boy went into the field", "After the dog went out, the farmer with the young boy went into the field" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the dog", "signaled", "", "the farmer", "with the young boy", "went", "into the field" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the dog", "went out", "", "the farmer", "with the young boy", "went", "into the field" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the dog", "signaled", ",", "the farmer", "with the young boy", "went", "into the field" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the dog", "went out", ",", "the farmer", "with the young boy", "went", "into the field" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
15
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "As the students considered the teacher of the physics class asked a question", "As the students slept the teacher of the physics class asked a question", "As the students considered, the teacher of the physics class asked a question", "As the students slept, the teacher of the physics class asked a question" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the students", "considered", "", "the teacher", "of the physics class", "asked", "a question" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the students", "slept", "", "the teacher", "of the physics class", "asked", "a question" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the students", "considered", ",", "the teacher", "of the physics class", "asked", "a question" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the students", "slept", ",", "the teacher", "of the physics class", "asked", "a question" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
16
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "While the woman decorated the pot that had a broken handle sat on the counter", "While the woman slept the pot that had a broken handle sat on the counter", "While the woman decorated, the pot that had a broken handle sat on the counter", "While the woman slept, the pot that had a broken handle sat on the counter" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the woman", "decorated", "", "the pot", "that had a broken handle", "sat", "on the counter" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the woman", "slept", "", "the pot", "that had a broken handle", "sat", "on the counter" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the woman", "decorated", ",", "the pot", "that had a broken handle", "sat", "on the counter" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the woman", "slept", ",", "the pot", "that had a broken handle", "sat", "on the counter" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
17
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "When the customer interrupted the manager of the shop changed the advertisement", "When the customer complained the manager of the shop changed the advertisement", "When the customer interrupted, the manager of the shop changed the advertisement", "When the customer complained, the manager of the shop changed the advertisement" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "When the customer", "interrupted", "", "the manager", "of the shop", "changed", "the advertisement" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "When the customer", "complained", "", "the manager", "of the shop", "changed", "the advertisement" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "When the customer", "interrupted", ",", "the manager", "of the shop", "changed", "the advertisement" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "When the customer", "complained", ",", "the manager", "of the shop", "changed", "the advertisement" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
18
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "As the young man wiped the pipe containing his best tobacco fell to the floor", "As the young man slept the pipe containing his best tobacco fell to the floor", "As the young man wiped, the pipe containing his best tobacco fell to the floor", "As the young man slept, the pipe containing his best tobacco fell to the floor" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the young man", "wiped", "", "the pipe", "containing his best tobacco", "fell", "to the floor" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the young man", "slept", "", "the pipe", "containing his best tobacco", "fell", "to the floor" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the young man", "wiped", ",", "the pipe", "containing his best tobacco", "fell", "to the floor" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the young man", "slept", ",", "the pipe", "containing his best tobacco", "fell", "to the floor" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
19
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "While the prisoners watched the guards who were in charge refused to negotiate", "While the prisoners looked the guards who were in charge refused to negotiate", "While the prisoners watched, the guards who were in charge refused to negotiate", "While the prisoners looked, the guards who were in charge refused to negotiate" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the prisoners", "watched", "", "the guards", "who were in charge", "refused", "to negotiate" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the prisoners", "looked", "", "the guards", "who were in charge", "refused", "to negotiate" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the prisoners", "watched", ",", "the guards", "who were in charge", "refused", "to negotiate" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "While the prisoners", "looked", ",", "the guards", "who were in charge", "refused", "to negotiate" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
20
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "As long as the king governed his subjects along with his followers feared his anger", "As long as the king yelled his subjects along with his followers feared his anger", "As long as the king governed, his subjects along with his followers feared his anger", "As long as the king yelled, his subjects along with his followers feared his anger" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As long as the king", "governed", "", "his subjects", "along with his followers", "feared", "his anger" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As long as the king", "yelled", "", "his subjects", "along with his followers", "feared", "his anger" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As long as the king", "governed", ",", "his subjects", "along with his followers", "feared", "his anger" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As long as the king", "yelled", ",", "his subjects", "along with his followers", "feared", "his anger" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
21
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the host interrupted the discussion of the issue became more interesting", "After the host yelled the discussion of the issue became more interesting", "After the host interrupted, the discussion of the issue became more interesting", "After the host yelled, the discussion of the issue became more interesting" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the host", "interrupted", "", "the discussion", "of the issue", "became", "more interesting" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the host", "yelled", "", "the discussion", "of the issue", "became", "more interesting" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the host", "interrupted", ",", "the discussion", "of the issue", "became", "more interesting" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the host", "yelled", ",", "the discussion", "of the issue", "became", "more interesting" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
22
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the woman dressed her children along with her husband thought she looked lovely", "After the woman departed her children along with her husband thought she looked lovely", "After the woman dressed, her children along with her husband thought she looked lovely", "After the woman departed, her children along with her husband thought she looked lovely" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the woman", "dressed", "", "her children", "along with her husband", "thought", "she looked lovely" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the woman", "departed", "", "her children", "along with her husband", "thought", "she looked lovely" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the woman", "dressed", ",", "her children", "along with her husband", "thought", "she looked lovely" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the woman", "departed", ",", "her children", "along with her husband", "thought", "she looked lovely" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
23
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "After the soldier signaled the doctor attending the exercise ordered it to stop", "After the soldier complained the doctor attending the exercise ordered it to stop", "After the soldier signaled, the doctor attending the exercise ordered it to stop", "After the soldier complained, the doctor attending the exercise ordered it to stop" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the soldier", "signaled", "", "the doctor", "attending the exercise", "ordered", "it to stop" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the soldier", "complained", "", "the doctor", "attending the exercise", "ordered", "it to stop" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the soldier", "signaled", ",", "the doctor", "attending the exercise", "ordered", "it to stop" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "After the soldier", "complained", ",", "the doctor", "attending the exercise", "ordered", "it to stop" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_ambig_mod
24
{ "condition_name": [ "ambig_nocomma", "unambig_nocomma", "ambig_comma", "unambig_comma" ], "content": [ "As the guard stopped the thieves who were wearing masks grabbed the money", "As the guard slept the thieves who were wearing masks grabbed the money", "As the guard stopped, the thieves who were wearing masks grabbed the money", "As the guard slept, the thieves who were wearing masks grabbed the money" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the guard", "stopped", "", "the thieves", "who were wearing masks", "grabbed", "the money" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the guard", "slept", "", "the thieves", "who were wearing masks", "grabbed", "the money" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the guard", "stopped", ",", "the thieves", "who were wearing masks", "grabbed", "the money" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "As the guard", "slept", ",", "the thieves", "who were wearing masks", "grabbed", "the money" ] } ] }
[ "((6;%ambig_nocomma%) > (6;%ambig_comma%) ) & ((6;%ambig_nocomma%) > (6;%unambig_nocomma%) ) & (((6;%ambig_nocomma%) - (6;%ambig_comma%) ) > ((6;%unambig_nocomma%) - (6;%unambig_comma%) ))" ]
npz_obj
1
{ "condition_name": [ "no-obj_no-comma", "obj_no-comma", "no-obj_comma", "obj_comma" ], "content": [ "As the criminal shot the woman yelled at the top of her lungs", "As the criminal shot his gun the woman yelled at the top of her lungs", "As the criminal shot, the woman yelled at the top of her lungs", "As the criminal shot his gun, the woman yelled at the top of her lungs" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the criminal", "shot", "", "the woman", "yelled", "at the top of her lungs" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the criminal", "shot his gun", "", "the woman", "yelled", "at the top of her lungs" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the criminal", "shot", ",", "the woman", "yelled", "at the top of her lungs" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the criminal", "shot his gun", ",", "the woman", "yelled", "at the top of her lungs" ] } ] }
[ "((5;%no-obj_no-comma%) > (5;%no-obj_comma%) ) & ((5;%no-obj_no-comma%) > (5;%obj_no-comma%) ) & (((5;%no-obj_no-comma%) - (5;%no-obj_comma%) ) > ((5;%obj_no-comma%) - (5;%obj_comma%) ))" ]
npz_obj
2
{ "condition_name": [ "no-obj_no-comma", "obj_no-comma", "no-obj_comma", "obj_comma" ], "content": [ "When the dog bit the doctor took off the restraint", "When the dog bit his owner the doctor took off the restraint", "When the dog bit, the doctor took off the restraint", "When the dog bit his owner, the doctor took off the restraint" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the dog", "bit", "", "the doctor", "took off", "the restraint" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the dog", "bit his owner", "", "the doctor", "took off", "the restraint" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the dog", "bit", ",", "the doctor", "took off", "the restraint" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the dog", "bit his owner", ",", "the doctor", "took off", "the restraint" ] } ] }
[ "((5;%no-obj_no-comma%) > (5;%no-obj_comma%) ) & ((5;%no-obj_no-comma%) > (5;%obj_no-comma%) ) & (((5;%no-obj_no-comma%) - (5;%no-obj_comma%) ) > ((5;%obj_no-comma%) - (5;%obj_comma%) ))" ]
npz_obj
3
{ "condition_name": [ "no-obj_no-comma", "obj_no-comma", "no-obj_comma", "obj_comma" ], "content": [ "As the ship crossed the waters remained blue and calm", "As the ship crossed the sea the waters remained blue and calm", "As the ship crossed, the waters remained blue and calm", "As the ship crossed the sea, the waters remained blue and calm" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the ship", "crossed", "", "the waters", "remained", "blue and calm" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the ship", "crossed the sea", "", "the waters", "remained", "blue and calm" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the ship", "crossed", ",", "the waters", "remained", "blue and calm" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "As the ship", "crossed the sea", ",", "the waters", "remained", "blue and calm" ] } ] }
[ "((5;%no-obj_no-comma%) > (5;%no-obj_comma%) ) & ((5;%no-obj_no-comma%) > (5;%obj_no-comma%) ) & (((5;%no-obj_no-comma%) - (5;%no-obj_comma%) ) > ((5;%obj_no-comma%) - (5;%obj_comma%) ))" ]
npz_obj
4
{ "condition_name": [ "no-obj_no-comma", "obj_no-comma", "no-obj_comma", "obj_comma" ], "content": [ "After the newcomers discussed the soldiers shared a cigarette", "After the newcomers discussed the situation the soldiers shared a cigarette", "After the newcomers discussed, the soldiers shared a cigarette", "After the newcomers discussed the situation, the soldiers shared a cigarette" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the newcomers", "discussed", "", "the soldiers", "shared", "a cigarette" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the newcomers", "discussed the situation", "", "the soldiers", "shared", "a cigarette" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the newcomers", "discussed", ",", "the soldiers", "shared", "a cigarette" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the newcomers", "discussed the situation", ",", "the soldiers", "shared", "a cigarette" ] } ] }
[ "((5;%no-obj_no-comma%) > (5;%no-obj_comma%) ) & ((5;%no-obj_no-comma%) > (5;%obj_no-comma%) ) & (((5;%no-obj_no-comma%) - (5;%no-obj_comma%) ) > ((5;%obj_no-comma%) - (5;%obj_comma%) ))" ]
npz_obj
5
{ "condition_name": [ "no-obj_no-comma", "obj_no-comma", "no-obj_comma", "obj_comma" ], "content": [ "Though the athlete telephoned the coach refused to praise him", "Though the athlete telephoned his manager the coach refused to praise him", "Though the athlete telephoned, the coach refused to praise him", "Though the athlete telephoned his manager, the coach refused to praise him" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Though the athlete", "telephoned", "", "the coach", "refused", "to praise him" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Though the athlete", "telephoned his manager", "", "the coach", "refused", "to praise him" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Though the athlete", "telephoned", ",", "the coach", "refused", "to praise him" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Though the athlete", "telephoned his manager", ",", "the coach", "refused", "to praise him" ] } ] }
[ "((5;%no-obj_no-comma%) > (5;%no-obj_comma%) ) & ((5;%no-obj_no-comma%) > (5;%obj_no-comma%) ) & (((5;%no-obj_no-comma%) - (5;%no-obj_comma%) ) > ((5;%obj_no-comma%) - (5;%obj_comma%) ))" ]
npz_obj
6
{ "condition_name": [ "no-obj_no-comma", "obj_no-comma", "no-obj_comma", "obj_comma" ], "content": [ "While the crowd applauded the actor relaxed on a chair", "While the crowd applauded the cast the actor relaxed on a chair", "While the crowd applauded, the actor relaxed on a chair", "While the crowd applauded the cast, the actor relaxed on a chair" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the crowd", "applauded", "", "the actor", "relaxed", "on a chair" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the crowd", "applauded the cast", "", "the actor", "relaxed", "on a chair" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the crowd", "applauded", ",", "the actor", "relaxed", "on a chair" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the crowd", "applauded the cast", ",", "the actor", "relaxed", "on a chair" ] } ] }
[ "((5;%no-obj_no-comma%) > (5;%no-obj_comma%) ) & ((5;%no-obj_no-comma%) > (5;%obj_no-comma%) ) & (((5;%no-obj_no-comma%) - (5;%no-obj_comma%) ) > ((5;%obj_no-comma%) - (5;%obj_comma%) ))" ]
npz_obj
7
{ "condition_name": [ "no-obj_no-comma", "obj_no-comma", "no-obj_comma", "obj_comma" ], "content": [ "While the audience cheered the actor delivered his speech", "While the audience cheered the show the actor delivered his speech", "While the audience cheered, the actor delivered his speech", "While the audience cheered the show, the actor delivered his speech" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the audience", "cheered", "", "the actor", "delivered", "his speech" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the audience", "cheered the show", "", "the actor", "delivered", "his speech" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the audience", "cheered", ",", "the actor", "delivered", "his speech" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the audience", "cheered the show", ",", "the actor", "delivered", "his speech" ] } ] }
[ "((5;%no-obj_no-comma%) > (5;%no-obj_comma%) ) & ((5;%no-obj_no-comma%) > (5;%obj_no-comma%) ) & (((5;%no-obj_no-comma%) - (5;%no-obj_comma%) ) > ((5;%obj_no-comma%) - (5;%obj_comma%) ))" ]
npz_obj
8
{ "condition_name": [ "no-obj_no-comma", "obj_no-comma", "no-obj_comma", "obj_comma" ], "content": [ "While the students ate the coffee was removed", "While the students ate the food the coffee was removed", "While the students ate, the coffee was removed", "While the students ate the food, the coffee was removed" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the students", "ate", "", "the coffee", "was", "removed" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the students", "ate the food", "", "the coffee", "was", "removed" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the students", "ate", ",", "the coffee", "was", "removed" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "While the students", "ate the food", ",", "the coffee", "was", "removed" ] } ] }
[ "((5;%no-obj_no-comma%) > (5;%no-obj_comma%) ) & ((5;%no-obj_no-comma%) > (5;%obj_no-comma%) ) & (((5;%no-obj_no-comma%) - (5;%no-obj_comma%) ) > ((5;%obj_no-comma%) - (5;%obj_comma%) ))" ]
npz_obj
9
{ "condition_name": [ "no-obj_no-comma", "obj_no-comma", "no-obj_comma", "obj_comma" ], "content": [ "When the professor taught the visitors lost interest", "When the professor taught the students the visitors lost interest", "When the professor taught, the visitors lost interest", "When the professor taught the students, the visitors lost interest" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the professor", "taught", "", "the visitors", "lost", "interest" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the professor", "taught the students", "", "the visitors", "lost", "interest" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the professor", "taught", ",", "the visitors", "lost", "interest" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "When the professor", "taught the students", ",", "the visitors", "lost", "interest" ] } ] }
[ "((5;%no-obj_no-comma%) > (5;%no-obj_comma%) ) & ((5;%no-obj_no-comma%) > (5;%obj_no-comma%) ) & (((5;%no-obj_no-comma%) - (5;%no-obj_comma%) ) > ((5;%obj_no-comma%) - (5;%obj_comma%) ))" ]
npz_obj
10
{ "condition_name": [ "no-obj_no-comma", "obj_no-comma", "no-obj_comma", "obj_comma" ], "content": [ "Because the baby grabbed the woman stayed until the end", "Because the baby grabbed the blanket the woman stayed until the end", "Because the baby grabbed, the woman stayed until the end", "Because the baby grabbed the blanket, the woman stayed until the end" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the baby", "grabbed", "", "the woman", "stayed", "until the end" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the baby", "grabbed the blanket", "", "the woman", "stayed", "until the end" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the baby", "grabbed", ",", "the woman", "stayed", "until the end" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the baby", "grabbed the blanket", ",", "the woman", "stayed", "until the end" ] } ] }
[ "((5;%no-obj_no-comma%) > (5;%no-obj_comma%) ) & ((5;%no-obj_no-comma%) > (5;%obj_no-comma%) ) & (((5;%no-obj_no-comma%) - (5;%no-obj_comma%) ) > ((5;%obj_no-comma%) - (5;%obj_comma%) ))" ]
npz_obj
11
{ "condition_name": [ "no-obj_no-comma", "obj_no-comma", "no-obj_comma", "obj_comma" ], "content": [ "Because the manager cheered the comedian began his act", "Because the manager cheered the first act the comedian began his act", "Because the manager cheered, the comedian began his act", "Because the manager cheered the first act, the comedian began his act" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the manager", "cheered", "", "the comedian", "began", "his act" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the manager", "cheered the first act", "", "the comedian", "began", "his act" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the manager", "cheered", ",", "the comedian", "began", "his act" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Because the manager", "cheered the first act", ",", "the comedian", "began", "his act" ] } ] }
[ "((5;%no-obj_no-comma%) > (5;%no-obj_comma%) ) & ((5;%no-obj_no-comma%) > (5;%obj_no-comma%) ) & (((5;%no-obj_no-comma%) - (5;%no-obj_comma%) ) > ((5;%obj_no-comma%) - (5;%obj_comma%) ))" ]
npz_obj
12
{ "condition_name": [ "no-obj_no-comma", "obj_no-comma", "no-obj_comma", "obj_comma" ], "content": [ "After the patient asked the nurse told her the news", "After the patient asked for medicine the nurse told her the news", "After the patient asked, the nurse told her the news", "After the patient asked for medicine, the nurse told her the news" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the patient", "asked", "", "the nurse", "told", "her the news" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the patient", "asked for medicine", "", "the nurse", "told", "her the news" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the patient", "asked", ",", "the nurse", "told", "her the news" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "After the patient", "asked for medicine", ",", "the nurse", "told", "her the news" ] } ] }
[ "((5;%no-obj_no-comma%) > (5;%no-obj_comma%) ) & ((5;%no-obj_no-comma%) > (5;%obj_no-comma%) ) & (((5;%no-obj_no-comma%) - (5;%no-obj_comma%) ) > ((5;%obj_no-comma%) - (5;%obj_comma%) ))" ]