Datasets:

seantrott
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rawc

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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
cape	It was a red cape.	It was a flowing cape.	true	Homonymy	red	flowing	M1_a_M1_b	N	3.266667	4	0.733333	15	1.222799	0.315725	M1_a	M1_b	null	null	cape
cape	It was a rocky cape.	It was an island cape.	true	Homonymy	rocky	island	M2_a_M2_b	N	2.866667	3	0.133333	15	1.245946	0.321702	M2_a	M2_b	null	null	cape
case	It was a beer case.	It was a divorce case.	false	Homonymy	beer	divorce	M1_a_M2_a	N	0.166667	0	0.166667	18	0.514496	0.121268	M1_a	M2_a	0.545455	1.471225	case
case	It was a beer case.	It was a criminal case.	false	Homonymy	beer	criminal	M1_a_M2_b	N	0.4	0	0.4	10	0.699206	0.221108	M1_a	M2_b	0.454545	1.405	case
case	It was a display case.	It was a divorce case.	false	Homonymy	display	divorce	M1_b_M2_a	N	0.25	0	0.25	12	0.452267	0.130558	M1_b	M2_a	0.631579	1.460994	case
case	It was a display case.	It was a criminal case.	false	Homonymy	display	criminal	M1_b_M2_b	N	0.363636	0	0.363636	11	0.504525	0.15212	M1_b	M2_b	-0.133333	1.45733	case
case	It was a beer case.	It was a display case.	true	Homonymy	beer	display	M1_a_M1_b	N	1.75	2	0.25	12	1.05529	0.304636	M1_a	M1_b	null	null	case
case	It was a divorce case.	It was a criminal case.	true	Homonymy	divorce	criminal	M2_a_M2_b	N	3.928571	4	0.071429	14	0.267261	0.071429	M2_a	M2_b	null	null	case
cast	She cast a shadow.	She cast a spear.	false	Polysemy	shadow	spear	M1_a_M2_a	V	0.909091	1	0.090909	11	1.221028	0.368154	M1_a	M2_a	-0.681818	1.358794	cast
cast	She cast a shadow.	She cast a stone.	false	Polysemy	shadow	stone	M1_a_M2_b	V	1.142857	1	0.142857	14	1.231456	0.32912	M1_a	M2_b	-0.826087	1.402989	cast
cast	She cast a glow.	She cast a spear.	false	Polysemy	glow	spear	M1_b_M2_a	V	1.461538	1	0.461538	13	1.391365	0.385895	M1_b	M2_a	-0.611111	1.377931	cast
cast	She cast a glow.	She cast a stone.	false	Polysemy	glow	stone	M1_b_M2_b	V	0.941176	1	0.058824	17	1.028992	0.249567	M1_b	M2_b	-0.266667	1.437591	cast
cast	She cast a shadow.	She cast a glow.	true	Polysemy	shadow	glow	M1_a_M1_b	V	3.285714	4	0.714286	7	0.95119	0.359516	M1_a	M1_b	null	null	cast
cast	She cast a spear.	She cast a stone.	true	Polysemy	spear	stone	M2_a_M2_b	V	3.2	3	0.2	15	0.941124	0.242997	M2_a	M2_b	null	null	cast
cause	It was a worthy cause.	It was a main cause.	false	Polysemy	worthy	main	M1_a_M2_a	N	2.272727	2	0.272727	11	1.103713	0.332782	M1_a	M2_a	-0.238095	1.480026	cause
cause	It was a worthy cause.	It was a primary cause.	false	Polysemy	worthy	primary	M1_a_M2_b	N	2.352941	2	0.352941	17	1.271868	0.308473	M1_a	M2_b	0.235294	1.521899	cause
cause	It was a political cause.	It was a main cause.	false	Polysemy	political	main	M1_b_M2_a	N	2.5	2.5	0	12	1.087115	0.313823	M1_b	M2_a	-0.263158	1.284182	cause
cause	It was a political cause.	It was a primary cause.	false	Polysemy	political	primary	M1_b_M2_b	N	2.071429	2	0.071429	14	1.384768	0.370095	M1_b	M2_b	0.190476	1.435933	cause
cause	It was a worthy cause.	It was a political cause.	true	Polysemy	worthy	political	M1_a_M1_b	N	3.461538	4	0.538462	13	0.877058	0.243252	M1_a	M1_b	null	null	cause
cause	It was a main cause.	It was a primary cause.	true	Polysemy	main	primary	M2_a_M2_b	N	4	4	0	10	0	0	M2_a	M2_b	null	null	cause
cell	It was a skin cell.	It was a prison cell.	false	Polysemy	skin	prison	M1_a_M2_a	N	0.2	0	0.2	10	0.421637	0.133333	M1_a	M2_a	-0.1	1.618967	cell
cell	It was a skin cell.	It was a jail cell.	false	Polysemy	skin	jail	M1_a_M2_b	N	0.428571	0	0.428571	14	0.937614	0.250588	M1_a	M2_b	0.181818	1.258736	cell
cell	It was a brain cell.	It was a prison cell.	false	Polysemy	brain	prison	M1_b_M2_a	N	0.272727	0	0.272727	11	0.64667	0.194978	M1_b	M2_a	-0.272727	1.453463	cell
cell	It was a brain cell.	It was a jail cell.	false	Polysemy	brain	jail	M1_b_M2_b	N	0.133333	0	0.133333	15	0.351866	0.090851	M1_b	M2_b	-0.357143	1.446861	cell
cell	It was a skin cell.	It was a brain cell.	true	Polysemy	skin	brain	M1_a_M1_b	N	3.947368	4	0.052632	19	0.229416	0.052632	M1_a	M1_b	null	null	cell
cell	It was a prison cell.	It was a jail cell.	true	Polysemy	prison	jail	M2_a_M2_b	N	4	4	0	8	0	0	M2_a	M2_b	null	null	cell
charm	She had a devilish charm.	She had a gold charm.	false	Polysemy	devilish	gold	M1_a_M2_a	N	1	1	0	10	0.942809	0.298142	M1_a	M2_a	-0.833333	1.193416	charm
charm	She had a devilish charm.	She had a good-luck charm.	false	Polysemy	devilish	good-luck	M1_a_M2_b	N	0.727273	0	0.727273	11	0.904534	0.272727	M1_a	M2_b	0.84	1.247664	charm
charm	She had a natural charm.	She had a gold charm.	false	Polysemy	natural	gold	M1_b_M2_a	N	0.588235	0	0.588235	17	0.712287	0.172755	M1_b	M2_a	-0.857143	1.014185	charm
charm	She had a natural charm.	She had a good-luck charm.	false	Polysemy	natural	good-luck	M1_b_M2_b	N	1.285714	1	0.285714	14	1.382783	0.369564	M1_b	M2_b	-0.1	1.518309	charm
charm	She had a devilish charm.	She had a natural charm.	true	Polysemy	devilish	natural	M1_a_M1_b	N	3.846154	4	0.153846	13	0.5547	0.153846	M1_a	M1_b	null	null	charm
charm	She had a gold charm.	She had a good-luck charm.	true	Polysemy	gold	good-luck	M2_a_M2_b	N	3.166667	3.5	0.333333	12	1.114641	0.321769	M2_a	M2_b	null	null	charm
check	He checked the engine.	He checked the alibi.	false	Polysemy	engine	alibi	M1_a_M2_a	V	3.1	3.5	0.4	10	1.100505	0.34801	M1_a	M2_a	-0.846154	1.519109	checked
check	He checked the engine.	He checked the facts.	false	Polysemy	engine	facts	M1_a_M2_b	V	2.857143	3	0.142857	14	1.292412	0.345412	M1_a	M2_b	-0.095238	1.445848	checked
check	He checked the oven.	He checked the alibi.	false	Polysemy	oven	alibi	M1_b_M2_a	V	2.684211	3	0.315789	19	1.293257	0.296694	M1_b	M2_a	-0.85	1.308877	checked
check	He checked the oven.	He checked the facts.	false	Polysemy	oven	facts	M1_b_M2_b	V	3.142857	3	0.142857	14	0.949262	0.253701	M1_b	M2_b	-0.375	1.345282	checked
check	He checked the engine.	He checked the oven.	true	Polysemy	engine	oven	M1_a_M1_b	V	3.666667	4	0.333333	15	0.48795	0.125988	M1_a	M1_b	null	null	checked
check	He checked the alibi.	He checked the facts.	true	Polysemy	alibi	facts	M2_a_M2_b	V	3.6	4	0.4	5	0.894427	0.4	M2_a	M2_b	null	null	checked
chicken	They liked the juicy chicken.	They liked the clucking chicken.	false	Polysemy	juicy	clucking	M1_a_M2_a	N	3	3	0	20	0.858395	0.191943	M1_a	M2_a	-1.076923	0.89098	chicken
chicken	They liked the juicy chicken.	They liked the pet chicken.	false	Polysemy	juicy	pet	M1_a_M2_b	N	2.888889	3	0.111111	9	1.452966	0.484322	M1_a	M2_b	-0.733333	1.624221	chicken
chicken	They liked the roasted chicken.	They liked the clucking chicken.	false	Polysemy	roasted	clucking	M1_b_M2_a	N	3.555556	4	0.444444	9	0.527046	0.175682	M1_b	M2_a	-1.173913	1.336623	chicken
chicken	They liked the roasted chicken.	They liked the pet chicken.	false	Polysemy	roasted	pet	M1_b_M2_b	N	3.571429	4	0.428571	7	0.534522	0.202031	M1_b	M2_b	-1.071429	0.997249	chicken
chicken	They liked the juicy chicken.	They liked the roasted chicken.	true	Polysemy	juicy	roasted	M1_a_M1_b	N	4	4	0	16	0	0	M1_a	M1_b	null	null	chicken
chicken	They liked the clucking chicken.	They liked the pet chicken.	true	Polysemy	clucking	pet	M2_a_M2_b	N	3.5625	4	0.4375	16	1.093542	0.273385	M2_a	M2_b	null	null	chicken
class	It was a perceptive class.	It was a boring class.	false	Polysemy	perceptive	boring	M1_a_M2_a	N	3.545455	4	0.454545	11	0.8202	0.247299	M1_a	M2_a	1.3	1.218282	class
class	It was a perceptive class.	It was a stimulating class.	false	Polysemy	perceptive	stimulating	M1_a_M2_b	N	3.583333	4	0.416667	12	0.900337	0.259905	M1_a	M2_b	1	1.133893	class
class	It was a misbehaving class.	It was a boring class.	false	Polysemy	misbehaving	boring	M1_b_M2_a	N	2.9375	3	0.0625	16	1.062623	0.265656	M1_b	M2_a	1.2	1.080123	class
class	It was a misbehaving class.	It was a stimulating class.	false	Polysemy	misbehaving	stimulating	M1_b_M2_b	N	2.8	3	0.2	15	1.373213	0.354562	M1_b	M2_b	0.333333	1.414214	class
class	It was a perceptive class.	It was a misbehaving class.	true	Polysemy	perceptive	misbehaving	M1_a_M1_b	N	2.545455	3	0.454545	11	1.507557	0.454545	M1_a	M1_b	null	null	class
class	It was a boring class.	It was a stimulating class.	true	Polysemy	boring	stimulating	M2_a_M2_b	N	3.833333	4	0.166667	12	0.57735	0.166667	M2_a	M2_b	null	null	class
clear	He cleared the desk.	He cleared the path.	false	Polysemy	desk	path	M1_a_M2_a	V	3.333333	4	0.666667	6	1.21106	0.494413	M1_a	M2_a	-0.222222	1.555089	cleared
clear	He cleared the desk.	He cleared the road.	false	Polysemy	desk	road	M1_a_M2_b	V	2.833333	2.5	0.333333	12	0.937437	0.270615	M1_a	M2_b	-0.478261	1.473079	cleared
clear	He cleared the shelf.	He cleared the path.	false	Polysemy	shelf	path	M1_b_M2_a	V	3.466667	4	0.533333	15	0.833809	0.215289	M1_b	M2_a	0.333333	1.283378	cleared
clear	He cleared the shelf.	He cleared the road.	false	Polysemy	shelf	road	M1_b_M2_b	V	2.909091	2	0.909091	11	1.044466	0.314918	M1_b	M2_b	-0.894737	1.242521	cleared
clear	He cleared the desk.	He cleared the shelf.	true	Polysemy	desk	shelf	M1_a_M1_b	V	3.956522	4	0.043478	23	0.208514	0.043478	M1_a	M1_b	null	null	cleared
clear	He cleared the path.	He cleared the road.	true	Polysemy	path	road	M2_a_M2_b	V	3.9	4	0.1	10	0.316228	0.1	M2_a	M2_b	null	null	cleared
clip	It was a film clip.	It was a hair clip.	false	Homonymy	film	hair	M1_a_M2_a	N	0.7	0	0.7	20	1.080935	0.241704	M1_a	M2_a	0.5	1.336306	clip
clip	It was a film clip.	It was a metal clip.	false	Homonymy	film	metal	M1_a_M2_b	N	0.555556	0	0.555556	9	0.726483	0.242161	M1_a	M2_b	0.2	1.609184	clip
clip	It was a video clip.	It was a hair clip.	false	Homonymy	video	hair	M1_b_M2_a	N	0.4	0	0.4	15	0.632456	0.163299	M1_b	M2_a	0.052632	1.649029	clip
clip	It was a video clip.	It was a metal clip.	false	Homonymy	video	metal	M1_b_M2_b	N	0.222222	0	0.222222	9	0.666667	0.222222	M1_b	M2_b	-0.823529	1.286239	clip
clip	It was a film clip.	It was a video clip.	true	Homonymy	film	video	M1_a_M1_b	N	4	4	0	10	0	0	M1_a	M1_b	null	null	clip
clip	It was a hair clip.	It was a metal clip.	true	Homonymy	hair	metal	M2_a_M2_b	N	2.714286	3	0.285714	14	1.204388	0.321886	M2_a	M2_b	null	null	clip
clog	The dancer clogged.	The pipe clogged.	false	Polysemy	dancer	pipe	M1_a_M2_a	V	0.3	0	0.3	10	0.483046	0.152753	M1_a	M2_a	1.714286	0.468807	clogged
clog	The dancer clogged.	The sink clogged.	false	Polysemy	dancer	sink	M1_a_M2_b	V	0.142857	0	0.142857	7	0.377964	0.142857	M1_a	M2_b	1.384615	1.325296	clogged
clog	The choreographer clogged.	The pipe clogged.	false	Polysemy	choreographer	pipe	M1_b_M2_a	V	0.285714	0	0.285714	14	0.468807	0.125294	M1_b	M2_a	1.56	1.003328	clogged
clog	The choreographer clogged.	The sink clogged.	false	Polysemy	choreographer	sink	M1_b_M2_b	V	0.461538	0	0.461538	13	0.518875	0.14391	M1_b	M2_b	1.461538	0.989172	clogged
clog	The dancer clogged.	The choreographer clogged.	true	Polysemy	dancer	choreographer	M1_a_M1_b	V	3.368421	4	0.631579	19	1.164785	0.26722	M1_a	M1_b	null	null	clogged
clog	The pipe clogged.	The sink clogged.	true	Polysemy	pipe	sink	M2_a_M2_b	V	4	4	0	14	0	0	M2_a	M2_b	null	null	clogged
cold	It was an icy cold.	It was a chest cold.	false	Polysemy	icy	chest	M1_a_M2_a	N	1.294118	1	0.294118	17	1.104802	0.267954	M1_a	M2_a	-1.047619	1.244033	cold
cold	It was an icy cold.	It was a common cold.	false	Polysemy	icy	common	M1_a_M2_b	N	0.875	1	0.125	8	0.834523	0.295048	M1_a	M2_b	-0.333333	1.632993	cold
cold	It was a freezing cold.	It was a chest cold.	false	Polysemy	freezing	chest	M1_b_M2_a	N	1.230769	1	0.230769	13	0.83205	0.230769	M1_b	M2_a	-1.421053	0.961237	cold
cold	It was a freezing cold.	It was a common cold.	false	Polysemy	freezing	common	M1_b_M2_b	N	0.818182	0	0.818182	11	1.250454	0.377026	M1_b	M2_b	-1.130435	1.217462	cold
cold	It was an icy cold.	It was a freezing cold.	true	Polysemy	icy	freezing	M1_a_M1_b	N	3.842105	4	0.157895	19	0.374634	0.085947	M1_a	M1_b	null	null	cold
cold	It was a chest cold.	It was a common cold.	true	Polysemy	chest	common	M2_a_M2_b	N	3.444444	4	0.555556	9	1.333333	0.444444	M2_a	M2_b	null	null	cold
column	It was a gossip column.	It was a concrete column.	false	Polysemy	gossip	concrete	M1_a_M2_a	N	0.125	0	0.125	8	0.353553	0.125	M1_a	M2_a	1.066667	1.162919	column
column	It was a gossip column.	It was a marble column.	false	Polysemy	gossip	marble	M1_a_M2_b	N	0.411765	0	0.411765	17	0.618347	0.149971	M1_a	M2_b	0.578947	1.426565	column
column	It was a sports column.	It was a concrete column.	false	Polysemy	sports	concrete	M1_b_M2_a	N	0.111111	0	0.111111	9	0.333333	0.111111	M1_b	M2_a	0.111111	1.450715	column
column	It was a sports column.	It was a marble column.	false	Polysemy	sports	marble	M1_b_M2_b	N	0.555556	0	0.555556	18	0.855585	0.201663	M1_b	M2_b	0.115385	1.451259	column
column	It was a gossip column.	It was a sports column.	true	Polysemy	gossip	sports	M1_a_M1_b	N	3.928571	4	0.071429	14	0.267261	0.071429	M1_a	M1_b	null	null	column
column	It was a concrete column.	It was a marble column.	true	Polysemy	concrete	marble	M2_a_M2_b	N	3.727273	4	0.272727	11	0.467099	0.140836	M2_a	M2_b	null	null	column
company	He liked the investment company.	He liked the pleasant company.	false	Polysemy	investment	pleasant	M1_a_M2_a	N	1	1	0	8	0.92582	0.327327	M1_a	M2_a	-0.375	1.438976	company
company	He liked the investment company.	He liked the polite company.	false	Polysemy	investment	polite	M1_a_M2_b	N	0.733333	1	0.266667	15	0.798809	0.206252	M1_a	M2_b	-1.25	0.774597	company
company	He liked the pharmaceutical company.	He liked the pleasant company.	false	Polysemy	pharmaceutical	pleasant	M1_b_M2_a	N	0.615385	0	0.615385	13	1.043908	0.289528	M1_b	M2_a	-0.470588	1.462773	company
company	He liked the pharmaceutical company.	He liked the polite company.	false	Polysemy	pharmaceutical	polite	M1_b_M2_b	N	0.3125	0	0.3125	16	0.60208	0.15052	M1_b	M2_b	-0.666667	1.494434	company
company	He liked the investment company.	He liked the pharmaceutical company.	true	Polysemy	investment	pharmaceutical	M1_a_M1_b	N	3.5	4	0.5	8	0.755929	0.267261	M1_a	M1_b	null	null	company
company	He liked the pleasant company.	He liked the polite company.	true	Polysemy	pleasant	polite	M2_a_M2_b	N	3.764706	4	0.235294	17	0.970143	0.235294	M2_a	M2_b	null	null	company
cone	It was a waffle cone.	It was an orange cone.	false	Polysemy	waffle	orange	M1_a_M2_a	N	1.785714	2	0.214286	14	1.311404	0.350487	M1_a	M2_a	-0.333333	1.441153	cone
cone	It was a waffle cone.	It was a traffic cone.	false	Polysemy	waffle	traffic	M1_a_M2_b	N	1.133333	0	1.133333	15	1.355764	0.350057	M1_a	M2_b	0	1.632993	cone
cone	It was a sugar cone.	It was an orange cone.	false	Polysemy	sugar	orange	M1_b_M2_a	N	1.466667	0	1.466667	15	1.807392	0.466667	M1_b	M2_a	-0.352941	1.366619	cone
cone	It was a sugar cone.	It was a traffic cone.	false	Polysemy	sugar	traffic	M1_b_M2_b	N	1.666667	2	0.333333	9	0.707107	0.235702	M1_b	M2_b	0.388889	1.334558	cone
cone	It was a waffle cone.	It was a sugar cone.	true	Polysemy	waffle	sugar	M1_a_M1_b	N	4	4	0	7	0	0	M1_a	M1_b	null	null	cone
cone	It was an orange cone.	It was a traffic cone.	true	Polysemy	orange	traffic	M2_a_M2_b	N	3.647059	4	0.352941	17	0.606339	0.147059	M2_a	M2_b	null	null	cone
contribution	He made a charitable contribution.	He made a scholarly contribution.	false	Polysemy	charitable	scholarly	M1_a_M2_a	N	3.375	4	0.625	8	1.06066	0.375	M1_a	M2_a	-0.55	1.468081	contribution
contribution	He made a charitable contribution.	He made a well-written contribution.	false	Polysemy	charitable	well-written	M1_a_M2_b	N	1.9375	2	0.0625	16	1.340087	0.335022	M1_a	M2_b	-0.269231	1.4299	contribution
contribution	He made a voluntary contribution.	He made a scholarly contribution.	false	Polysemy	voluntary	scholarly	M1_b_M2_a	N	3.411765	4	0.588235	17	0.795206	0.192866	M1_b	M2_a	-0.5	1.424574	contribution
contribution	He made a voluntary contribution.	He made a well-written contribution.	false	Polysemy	voluntary	well-written	M1_b_M2_b	N	2.857143	3	0.142857	7	0.899735	0.340068	M1_b	M2_b	-0.214286	1.476929	contribution
contribution	He made a charitable contribution.	He made a voluntary contribution.	true	Polysemy	charitable	voluntary	M1_a_M1_b	N	3.875	4	0.125	16	0.341565	0.085391	M1_a	M1_b	null	null	contribution
contribution	He made a scholarly contribution.	He made a well-written contribution.	true	Polysemy	scholarly	well-written	M2_a_M2_b	N	3.076923	3	0.076923	13	1.115164	0.309291	M2_a	M2_b	null	null	contribution
count	That was the noble count.	That was the final count.	false	Homonymy	noble	final	M1_a_M2_a	N	0.142857	0	0.142857	7	0.377964	0.142857	M1_a	M2_a	1.285714	1.049061	count
count	That was the noble count.	That was the correct count.	false	Homonymy	noble	correct	M1_a_M2_b	N	0.375	0	0.375	16	0.718795	0.179699	M1_a	M2_b	0.9	1.552587	count

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