Datasets:

seantrott
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rawc

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Split (1)

train · 672 rows

word stringclasses 112 values	sentence1 stringlengths 14 37	sentence2 stringlengths 14 36	same bool 2 classes	ambiguity_type stringclasses 2 values	disambiguating_word1 stringlengths 2 15	disambiguating_word2 stringlengths 2 15	version stringclasses 6 values	Class stringclasses 2 values	mean_relatedness float64 0 4	median_relatedness float64 0 4	diff float64 0 1.47	count int64 4 23	sd_relatedness float64 0 2	se_relatedness float64 0 0.71	v1 stringclasses 3 values	v2 stringclasses 3 values	dominance_sentence2 float64 -1.78 1.71 ⌀	sd_dominance_sentence2 float64 0.43 1.86 ⌀	string stringclasses 112 values
match	It was a lit match.	It was a burning match.	true	Homonymy	lit	burning	M1_a_M1_b	N	4	4	0	10	0	0	M1_a	M1_b	null	null	match
match	It was a soccer match.	It was a tennis match.	true	Homonymy	soccer	tennis	M2_a_M2_b	N	3.666667	4	0.333333	15	1.046536	0.270214	M2_a	M2_b	null	null	match
medicine	It was cough medicine.	It was orthopedic medicine.	false	Polysemy	cough	orthopedic	M1_a_M2_a	N	2.666667	3	0.333333	15	1.112697	0.287297	M1_a	M2_a	-1.454545	0.738549	medicine
medicine	It was cough medicine.	It was veterinary medicine.	false	Polysemy	cough	veterinary	M1_a_M2_b	N	2.444444	2	0.444444	9	1.424001	0.474667	M1_a	M2_b	-1.222222	0.942809	medicine
medicine	It was prescription medicine.	It was orthopedic medicine.	false	Polysemy	prescription	orthopedic	M1_b_M2_a	N	3.222222	4	0.777778	9	1.092906	0.364302	M1_b	M2_a	-1.055556	0.872604	medicine
medicine	It was prescription medicine.	It was veterinary medicine.	false	Polysemy	prescription	veterinary	M1_b_M2_b	N	3.5	4	0.5	10	1.080123	0.341565	M1_b	M2_b	-1.1	1.165287	medicine
medicine	It was cough medicine.	It was prescription medicine.	true	Polysemy	cough	prescription	M1_a_M1_b	N	3.5625	4	0.4375	16	1.093542	0.273385	M1_a	M1_b	null	null	medicine
medicine	It was orthopedic medicine.	It was veterinary medicine.	true	Polysemy	orthopedic	veterinary	M2_a_M2_b	N	3.833333	4	0.166667	18	0.514496	0.121268	M2_a	M2_b	null	null	medicine
message	There was a phone message.	There was an urgent message.	false	Polysemy	phone	urgent	M1_a_M2_a	N	3.5	3.5	0	10	0.527046	0.166667	M1_a	M2_a	0.047619	1.596126	message
message	There was a phone message.	There was a clear message.	false	Polysemy	phone	clear	M1_a_M2_b	N	2.125	2.5	0.375	8	0.991031	0.350382	M1_a	M2_b	-0.047619	1.283596	message
message	There was a computer message.	There was an urgent message.	false	Polysemy	computer	urgent	M1_b_M2_a	N	3	3	0	15	1.133893	0.29277	M1_b	M2_a	0.266667	1.099784	message
message	There was a computer message.	There was a clear message.	false	Polysemy	computer	clear	M1_b_M2_b	N	2.8125	3	0.1875	16	1.046821	0.261705	M1_b	M2_b	-0.571429	1.630074	message
message	There was a phone message.	There was a computer message.	true	Polysemy	phone	computer	M1_a_M1_b	N	3.727273	4	0.272727	11	0.64667	0.194978	M1_a	M1_b	null	null	message
message	There was an urgent message.	There was a clear message.	true	Polysemy	urgent	clear	M2_a_M2_b	N	3.705882	4	0.294118	17	0.587868	0.142579	M2_a	M2_b	null	null	message
mold	It was a fungal mold.	It was a rubber mold.	false	Homonymy	fungal	rubber	M1_a_M2_a	N	0.133333	0	0.133333	15	0.351866	0.090851	M1_a	M2_a	-0.478261	1.473079	mold
mold	It was a fungal mold.	It was a clay mold.	false	Homonymy	fungal	clay	M1_a_M2_b	N	0.916667	0.5	0.416667	12	1.240112	0.35799	M1_a	M2_b	-0.133333	1.45733	mold
mold	It was a harmful mold.	It was a rubber mold.	false	Homonymy	harmful	rubber	M1_b_M2_a	N	0.111111	0	0.111111	9	0.333333	0.111111	M1_b	M2_a	-0.55	1.356272	mold
mold	It was a harmful mold.	It was a clay mold.	false	Homonymy	harmful	clay	M1_b_M2_b	N	0.357143	0	0.357143	14	0.497245	0.132894	M1_b	M2_b	0	1.414214	mold
mold	It was a fungal mold.	It was a harmful mold.	true	Homonymy	fungal	harmful	M1_a_M1_b	N	3.0625	3.5	0.4375	16	1.236595	0.309149	M1_a	M1_b	null	null	mold
mold	It was a rubber mold.	It was a clay mold.	true	Homonymy	rubber	clay	M2_a_M2_b	N	3.727273	4	0.272727	11	0.64667	0.194978	M2_a	M2_b	null	null	mold
mole	She saw the cancerous mole.	She saw the cute mole.	false	Homonymy	cancerous	cute	M1_a_M2_a	N	0.153846	0	0.153846	13	0.5547	0.153846	M1_a	M2_a	-0.733333	1.486447	mole
mole	She saw the cancerous mole.	She saw the fast mole.	false	Homonymy	cancerous	fast	M1_a_M2_b	N	0.166667	0	0.166667	12	0.389249	0.112367	M1_a	M2_b	-0.235294	1.393261	mole
mole	She saw the raised mole.	She saw the cute mole.	false	Homonymy	raised	cute	M1_b_M2_a	N	0.625	0	0.625	8	1.407886	0.497763	M1_b	M2_a	-0.263158	1.521772	mole
mole	She saw the raised mole.	She saw the fast mole.	false	Homonymy	raised	fast	M1_b_M2_b	N	1.15	1	0.15	20	1.386969	0.310136	M1_b	M2_b	-0.185185	1.210119	mole
mole	She saw the cancerous mole.	She saw the raised mole.	true	Homonymy	cancerous	raised	M1_a_M1_b	N	2.375	3.5	1.125	8	1.995531	0.705527	M1_a	M1_b	null	null	mole
mole	She saw the cute mole.	She saw the fast mole.	true	Homonymy	cute	fast	M2_a_M2_b	N	2.375	2	0.375	16	1.586401	0.3966	M2_a	M2_b	null	null	mole
movement	He liked the rhythmic movement.	He liked the feminist movement.	false	Polysemy	rhythmic	feminist	M1_a_M2_a	N	0.846154	1	0.153846	13	0.898717	0.249259	M1_a	M2_a	-0.6875	1.400893	movement
movement	He liked the rhythmic movement.	He liked the civil-rights movement.	false	Polysemy	rhythmic	civil-rights	M1_a_M2_b	N	0.538462	0	0.538462	13	0.967418	0.268313	M1_a	M2_b	-0.190476	1.631534	movement
movement	He liked the graceful movement.	He liked the feminist movement.	false	Polysemy	graceful	feminist	M1_b_M2_a	N	1.428571	1.5	0.071429	14	1.157868	0.309453	M1_b	M2_a	0.5	1.44463	movement
movement	He liked the graceful movement.	He liked the civil-rights movement.	false	Polysemy	graceful	civil-rights	M1_b_M2_b	N	0.833333	1	0.166667	12	0.937437	0.270615	M1_b	M2_b	0.058824	1.477777	movement
movement	He liked the rhythmic movement.	He liked the graceful movement.	true	Polysemy	rhythmic	graceful	M1_a_M1_b	N	3.384615	4	0.615385	13	0.869718	0.241217	M1_a	M1_b	null	null	movement
movement	He liked the feminist movement.	He liked the civil-rights movement.	true	Polysemy	feminist	civil-rights	M2_a_M2_b	N	4	4	0	12	0	0	M2_a	M2_b	null	null	movement
newspaper	It was a national newspaper.	It was a faded newspaper.	false	Polysemy	national	faded	M1_a_M2_a	N	3.9	4	0.1	10	0.316228	0.1	M1_a	M2_a	-0.388889	1.334558	newspaper
newspaper	It was a national newspaper.	It was a shredded newspaper.	false	Polysemy	national	shredded	M1_a_M2_b	N	3.647059	4	0.352941	17	0.785905	0.19061	M1_a	M2_b	-0.083333	1.44212	newspaper
newspaper	It was a daily newspaper.	It was a faded newspaper.	false	Polysemy	daily	faded	M1_b_M2_a	N	4	4	0	10	0	0	M1_b	M2_a	-1.190476	1.167007	newspaper
newspaper	It was a daily newspaper.	It was a shredded newspaper.	false	Polysemy	daily	shredded	M1_b_M2_b	N	3.777778	4	0.222222	18	0.732084	0.172554	M1_b	M2_b	-0.733333	1.334523	newspaper
newspaper	It was a national newspaper.	It was a daily newspaper.	true	Polysemy	national	daily	M1_a_M1_b	N	4	4	0	10	0	0	M1_a	M1_b	null	null	newspaper
newspaper	It was a faded newspaper.	It was a shredded newspaper.	true	Polysemy	faded	shredded	M2_a_M2_b	N	3.833333	4	0.166667	12	0.57735	0.166667	M2_a	M2_b	null	null	newspaper
orange	It was a juicy orange.	It was a bright orange.	false	Polysemy	juicy	bright	M1_a_M2_a	N	2	2	0	19	1.763834	0.404651	M1_a	M2_a	0.052632	1.432701	orange
orange	It was a juicy orange.	It was a reddish orange.	false	Polysemy	juicy	reddish	M1_a_M2_b	N	1	0	1	9	1.414214	0.471405	M1_a	M2_b	0.111111	1.450715	orange
orange	It was a ripe orange.	It was a bright orange.	false	Polysemy	ripe	bright	M1_b_M2_a	N	2.5	3	0.5	8	1.603567	0.566947	M1_b	M2_a	-0.611111	1.377931	orange
orange	It was a ripe orange.	It was a reddish orange.	false	Polysemy	ripe	reddish	M1_b_M2_b	N	1.916667	1.5	0.416667	12	1.621354	0.468045	M1_b	M2_b	-0.26087	1.388832	orange
orange	It was a juicy orange.	It was a ripe orange.	true	Polysemy	juicy	ripe	M1_a_M1_b	N	3.65	4	0.35	20	0.988087	0.220943	M1_a	M1_b	null	null	orange
orange	It was a bright orange.	It was a reddish orange.	true	Polysemy	bright	reddish	M2_a_M2_b	N	4	4	0	9	0	0	M2_a	M2_b	null	null	orange
page	He saw the young page.	He saw the blank page.	false	Homonymy	young	blank	M1_a_M2_a	N	0.166667	0	0.166667	12	0.389249	0.112367	M1_a	M2_a	1.705882	0.771744	page
page	He saw the young page.	He saw the ripped page.	false	Homonymy	young	ripped	M1_a_M2_b	N	0.333333	0	0.333333	9	0.5	0.166667	M1_a	M2_b	1.3	1.218282	page
page	He saw the loyal page.	He saw the blank page.	false	Homonymy	loyal	blank	M1_b_M2_a	N	0.388889	0	0.388889	18	0.607685	0.143233	M1_b	M2_a	1.363636	1.17698	page
page	He saw the loyal page.	He saw the ripped page.	false	Homonymy	loyal	ripped	M1_b_M2_b	N	0.545455	0	0.545455	11	0.687552	0.207305	M1_b	M2_b	1.526316	0.964274	page
page	He saw the young page.	He saw the loyal page.	true	Homonymy	young	loyal	M1_a_M1_b	N	3.071429	4	0.928571	14	1.439246	0.384655	M1_a	M1_b	null	null	page
page	He saw the blank page.	He saw the ripped page.	true	Homonymy	blank	ripped	M2_a_M2_b	N	3.384615	4	0.615385	13	1.502135	0.416617	M2_a	M2_b	null	null	page
palm	It was a calloused palm.	It was a tropical palm.	false	Homonymy	calloused	tropical	M1_a_M2_a	N	0.235294	0	0.235294	17	0.664211	0.161095	M1_a	M2_a	-0.086957	1.311247	palm
palm	It was a calloused palm.	It was a tree palm.	false	Homonymy	calloused	tree	M1_a_M2_b	N	0.2	0	0.2	15	0.560612	0.144749	M1_a	M2_b	-0.782609	1.277658	palm
palm	It was a wrinkled palm.	It was a tropical palm.	false	Homonymy	wrinkled	tropical	M1_b_M2_a	N	0.285714	0	0.285714	14	1.069045	0.285714	M1_b	M2_a	0.25	1.864745	palm
palm	It was a wrinkled palm.	It was a tree palm.	false	Homonymy	wrinkled	tree	M1_b_M2_b	N	0.25	0	0.25	12	0.452267	0.130558	M1_b	M2_b	-0.25	1.551739	palm
palm	It was a calloused palm.	It was a wrinkled palm.	true	Homonymy	calloused	wrinkled	M1_a_M1_b	N	3	4	1	7	1.414214	0.534522	M1_a	M1_b	null	null	palm
palm	It was a tropical palm.	It was a tree palm.	true	Homonymy	tropical	tree	M2_a_M2_b	N	3.916667	4	0.083333	12	0.288675	0.083333	M2_a	M2_b	null	null	palm
panel	It was a control panel.	It was an advisory panel.	false	Polysemy	control	advisory	M1_a_M2_a	N	0.8	1	0.2	10	0.788811	0.249444	M1_a	M2_a	-1.055556	1.055642	panel
panel	It was a control panel.	It was a consumer panel.	false	Polysemy	control	consumer	M1_a_M2_b	N	1.222222	1	0.222222	18	1.165966	0.274821	M1_a	M2_b	-1.15	1.182103	panel
panel	It was an instrument panel.	It was an advisory panel.	false	Polysemy	instrument	advisory	M1_b_M2_a	N	1.5	1.5	0	4	1.290994	0.645497	M1_b	M2_a	0.294118	1.311712	panel
panel	It was an instrument panel.	It was a consumer panel.	false	Polysemy	instrument	consumer	M1_b_M2_b	N	1.076923	1	0.076923	13	1.255756	0.348284	M1_b	M2_b	-0.130435	1.358621	panel
panel	It was a control panel.	It was an instrument panel.	true	Polysemy	control	instrument	M1_a_M1_b	N	1.8	2	0.2	20	1.576138	0.352435	M1_a	M1_b	null	null	panel
panel	It was an advisory panel.	It was a consumer panel.	true	Polysemy	advisory	consumer	M2_a_M2_b	N	3	3	0	12	0.953463	0.275241	M2_a	M2_b	null	null	panel
passage	It was a secret passage.	It was a literary passage.	false	Polysemy	secret	literary	M1_a_M2_a	N	0.1	0	0.1	10	0.316228	0.1	M1_a	M2_a	-0.32	1.6	passage
passage	It was a secret passage.	It was a biblical passage.	false	Polysemy	secret	biblical	M1_a_M2_b	N	0.428571	0	0.428571	14	0.513553	0.137253	M1_a	M2_b	-1.25	1.183216	passage
passage	It was a narrow passage.	It was a literary passage.	false	Polysemy	narrow	literary	M1_b_M2_a	N	0.888889	1	0.111111	9	1.054093	0.351364	M1_b	M2_a	0.363636	1.361817	passage
passage	It was a narrow passage.	It was a biblical passage.	false	Polysemy	narrow	biblical	M1_b_M2_b	N	0.230769	0	0.230769	13	0.599145	0.166173	M1_b	M2_b	-0.346154	1.573336	passage
passage	It was a secret passage.	It was a narrow passage.	true	Polysemy	secret	narrow	M1_a_M1_b	N	3.692308	4	0.307692	13	0.630425	0.174848	M1_a	M1_b	null	null	passage
passage	It was a literary passage.	It was a biblical passage.	true	Polysemy	literary	biblical	M2_a_M2_b	N	3.611111	4	0.388889	18	0.978528	0.230641	M2_a	M2_b	null	null	passage
pen	She penned her animals.	She penned her memoirs.	false	Homonymy	animals	memoirs	M1_a_M2_a	V	0.4	0	0.4	10	0.516398	0.163299	M1_a	M2_a	0.421053	1.426565	penned
pen	She penned her animals.	She penned her thoughts.	false	Homonymy	animals	thoughts	M1_a_M2_b	V	0.545455	0	0.545455	11	1.035725	0.312283	M1_a	M2_b	0.333333	1.238278	penned
pen	She penned her livestock.	She penned her memoirs.	false	Homonymy	livestock	memoirs	M1_b_M2_a	V	0.647059	0	0.647059	17	0.996317	0.241642	M1_b	M2_a	0	1.441153	penned
pen	She penned her livestock.	She penned her thoughts.	false	Homonymy	livestock	thoughts	M1_b_M2_b	V	0.5	0	0.5	12	0.797724	0.230283	M1_b	M2_b	0.909091	1.044466	penned
pen	She penned her animals.	She penned her livestock.	true	Homonymy	animals	livestock	M1_a_M1_b	V	3.529412	4	0.470588	17	1.06757	0.258924	M1_a	M1_b	null	null	penned
pen	She penned her memoirs.	She penned her thoughts.	true	Homonymy	memoirs	thoughts	M2_a_M2_b	V	3.3	4	0.7	10	1.159502	0.366667	M2_a	M2_b	null	null	penned
perch	It was a tasty perch.	It was a lofty perch.	false	Homonymy	tasty	lofty	M1_a_M2_a	N	0.666667	1	0.333333	9	0.707107	0.235702	M1_a	M2_a	0.684211	1.249561	perch
perch	It was a tasty perch.	It was a secure perch.	false	Homonymy	tasty	secure	M1_a_M2_b	N	0.6	0	0.6	5	0.894427	0.4	M1_a	M2_b	0.4	1.353358	perch
perch	It was a freshwater perch.	It was a lofty perch.	false	Homonymy	freshwater	lofty	M1_b_M2_a	N	1.3125	1	0.3125	16	1.447699	0.361925	M1_b	M2_a	0.4	1.46539	perch
perch	It was a freshwater perch.	It was a secure perch.	false	Homonymy	freshwater	secure	M1_b_M2_b	N	1.666667	2	0.333333	15	1.290994	0.333333	M1_b	M2_b	0.368421	1.60591	perch
perch	It was a tasty perch.	It was a freshwater perch.	true	Homonymy	tasty	freshwater	M1_a_M1_b	N	2.25	2.5	0.25	12	1.602555	0.462618	M1_a	M1_b	null	null	perch
perch	It was a lofty perch.	It was a secure perch.	true	Homonymy	lofty	secure	M2_a_M2_b	N	2.5	3	0.5	20	1.50438	0.336389	M2_a	M2_b	null	null	perch
pick	He picked his coffee.	He picked his scab.	false	Polysemy	coffee	scab	M1_a_M2_a	V	0.733333	1	0.266667	15	0.798809	0.206252	M1_a	M2_a	-0.352941	1.366619	picked
pick	He picked his coffee.	He picked his nose.	false	Polysemy	coffee	nose	M1_a_M2_b	V	0.538462	0	0.538462	13	0.877058	0.243252	M1_a	M2_b	0.133333	1.45733	picked
pick	He picked his dinner.	He picked his scab.	false	Polysemy	dinner	scab	M1_b_M2_a	V	0.894737	1	0.105263	19	0.875261	0.200799	M1_b	M2_a	-0.454545	1.503243	picked
pick	He picked his dinner.	He picked his nose.	false	Polysemy	dinner	nose	M1_b_M2_b	V	0.583333	0	0.583333	12	1.1645	0.336162	M1_b	M2_b	0.291667	1.45898	picked
pick	He picked his coffee.	He picked his dinner.	true	Polysemy	coffee	dinner	M1_a_M1_b	V	3.428571	4	0.571429	7	0.786796	0.297381	M1_a	M1_b	null	null	picked
pick	He picked his scab.	He picked his nose.	true	Polysemy	scab	nose	M2_a_M2_b	V	3.636364	4	0.363636	11	0.504525	0.15212	M2_a	M2_b	null	null	picked
pitcher	He saw the fast pitcher.	He saw the glass pitcher.	false	Homonymy	fast	glass	M1_a_M2_a	N	0.071429	0	0.071429	14	0.267261	0.071429	M1_a	M2_a	-0.038462	1.611974	pitcher
pitcher	He saw the fast pitcher.	He saw the plastic pitcher.	false	Homonymy	fast	plastic	M1_a_M2_b	N	0.307692	0	0.307692	13	0.630425	0.174848	M1_a	M2_b	0.157895	1.30227	pitcher
pitcher	He saw the right-handed pitcher.	He saw the glass pitcher.	false	Homonymy	right-handed	glass	M1_b_M2_a	N	0.4	0	0.4	15	0.828079	0.213809	M1_b	M2_a	-0.1875	1.558578	pitcher
pitcher	He saw the right-handed pitcher.	He saw the plastic pitcher.	false	Homonymy	right-handed	plastic	M1_b_M2_b	N	0.153846	0	0.153846	13	0.375534	0.104154	M1_b	M2_b	0.411765	1.543487	pitcher
pitcher	He saw the fast pitcher.	He saw the right-handed pitcher.	true	Homonymy	fast	right-handed	M1_a_M1_b	N	3.785714	4	0.214286	14	0.425815	0.113804	M1_a	M1_b	null	null	pitcher
pitcher	He saw the glass pitcher.	He saw the plastic pitcher.	true	Homonymy	glass	plastic	M2_a_M2_b	N	3.5	4	0.5	8	1.414214	0.5	M2_a	M2_b	null	null	pitcher
poach	She poached the deer.	She poached the eggs.	false	Homonymy	deer	eggs	M1_a_M2_a	V	0.833333	0.5	0.333333	12	0.937437	0.270615	M1_a	M2_a	1.222222	0.732084	poached
poach	She poached the deer.	She poached the vegetables.	false	Homonymy	deer	vegetables	M1_a_M2_b	V	1.363636	1	0.363636	11	1.433369	0.432177	M1_a	M2_b	-0.4375	1.364734	poached
poach	She poached the bear.	She poached the eggs.	false	Homonymy	bear	eggs	M1_b_M2_a	V	0.571429	0	0.571429	7	0.786796	0.297381	M1_b	M2_a	1.136364	1.552125	poached
poach	She poached the bear.	She poached the vegetables.	false	Homonymy	bear	vegetables	M1_b_M2_b	V	0.5	0	0.5	14	0.94054	0.25137	M1_b	M2_b	0.363636	1.528942	poached
poach	She poached the deer.	She poached the bear.	true	Homonymy	deer	bear	M1_a_M1_b	V	3.842105	4	0.157895	19	0.688247	0.157895	M1_a	M1_b	null	null	poached
poach	She poached the eggs.	She poached the vegetables.	true	Homonymy	eggs	vegetables	M2_a_M2_b	V	3.142857	3	0.142857	14	0.864438	0.231031	M2_a	M2_b	null	null	poached
port	It was a windy port.	It was a delicious port.	false	Homonymy	windy	delicious	M1_a_M2_a	N	0.2	0	0.2	5	0.447214	0.2	M1_a	M2_a	-1.263158	1.097578	port
port	It was a windy port.	It was a sweet port.	false	Homonymy	windy	sweet	M1_a_M2_b	N	1.5	1.5	0	16	1.264911	0.316228	M1_a	M2_b	-1	0.973329	port

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