Indiscriminate Identity Coreference
Collection
Datasets transformed into indiscriminate clustering of continuous textual spans.
•
16 items
•
Updated
•
1
text
stringlengths 36
170
| id
stringlengths 32
32
| sentences
list | coref_chains
sequence | genre
stringclasses 1
value | meta_data
dict |
---|---|---|---|---|---|
The city councilmen refused the demonstrators a permit because they feared violence. | e42976a4e91cba3f87a71d4ef53bbfc5 | [
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"text": "The city councilmen refused the demonstrators a permit because they feared violence.",
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"lemma": "city",
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"lemma": "councilman",
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"feats": "Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin",
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"text": "refused",
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{
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"id": 6,
"lemma": "demonstrator",
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"text": "demonstrators",
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{
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"feats": "Case=Nom|Number=Plur|Person=3|PronType=Prs",
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"lemma": "they",
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"text": "they",
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{
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"feats": "Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin",
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"lemma": "fear",
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"text": "feared",
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"xpos": "VBD"
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{
"deprel": "obj",
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"feats": "Number=Sing",
"head": 11,
"id": 12,
"lemma": "violence",
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"text": "violence",
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},
{
"deprel": "punct",
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"feats": null,
"head": 4,
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"lemma": ".",
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"text": ".",
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"comment": "detokenizer=source",
"source": "(Winograd 1972)"
} |
The city councilmen refused the demonstrators a permit because they advocated violence. | 0606b298525344c1c630dc3a70e92867 | [
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{
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"feats": "Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin",
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{
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"lemma": "violence",
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"text": "violence",
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{
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"lemma": ".",
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"text": ".",
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"xpos": "."
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}
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"comment": "detokenizer=source",
"source": "(Winograd 1972)"
} |
The trophy doesn't fit into the brown suitcase because it is too large. | 73caef4116e135efe27dcd074e0616bb | [
{
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"text": "The trophy doesn't fit into the brown suitcase because it is too large.",
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"comment": "detokenizer=source",
"source": "Hector Levesque"
} |
The trophy doesn't fit into the brown suitcase because it is too small. | cecc4990f518a9ffc94c15b75a28c631 | [
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"comment": "detokenizer=source",
"source": "Hector Levesque"
} |
Joan made sure to thank Susan for all the help she had recieved. | 2e640afabf38782d285a01facc2ef2ab | [
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] | expert_generated | {
"comment": "detokenizer=source",
"source": "Hector Levesque"
} |
Joan made sure to thank Susan for all the help she had given. | b317f3503c18ccbd0d30b5313ff575d1 | [
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John couldn't see the stage with Billy in front of him because he is so tall. | 44bbeed22070dc0b743bf3a493bdc454 | [
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Jim comforted Kevin because he was so upset. | d64f46fe797049d5063d7fbbbe357ae1 | [
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Pete envies Martin although he is very successful. | d6fd8e640fa3353bcad66730eff3aa02 | [
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The older students were bullying the younger ones, so we punished them . | 629b61b823fcb15118140ae7948ce6cf | [
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"id": 5,
"lemma": "rag",
"start_char": 14,
"text": "rag",
"upos": "NOUN",
"xpos": "NN"
},
{
"deprel": "mark",
"end_char": 20,
"feats": null,
"head": 7,
"id": 6,
"lemma": "to",
"start_char": 18,
"text": "to",
"upos": "PART",
"xpos": "TO"
},
{
"deprel": "advcl",
"end_char": 26,
"feats": "VerbForm=Inf",
"head": 2,
"id": 7,
"lemma": "clean",
"start_char": 21,
"text": "clean",
"upos": "VERB",
"xpos": "VB"
},
{
"deprel": "det",
"end_char": 30,
"feats": "Definite=Def|PronType=Art",
"head": 9,
"id": 8,
"lemma": "the",
"start_char": 27,
"text": "the",
"upos": "DET",
"xpos": "DT"
},
{
"deprel": "obj",
"end_char": 36,
"feats": "Number=Sing",
"head": 7,
"id": 9,
"lemma": "knife",
"start_char": 31,
"text": "knife",
"upos": "NOUN",
"xpos": "NN"
},
{
"deprel": "punct",
"end_char": 37,
"feats": null,
"head": 14,
"id": 10,
"lemma": ",",
"start_char": 36,
"text": ",",
"upos": "PUNCT",
"xpos": ","
},
{
"deprel": "cc",
"end_char": 41,
"feats": null,
"head": 14,
"id": 11,
"lemma": "and",
"start_char": 38,
"text": "and",
"upos": "CCONJ",
"xpos": "CC"
},
{
"deprel": "advmod",
"end_char": 46,
"feats": "PronType=Dem",
"head": 14,
"id": 12,
"lemma": "then",
"start_char": 42,
"text": "then",
"upos": "ADV",
"xpos": "RB"
},
{
"deprel": "nsubj",
"end_char": 48,
"feats": "Case=Nom|Number=Sing|Person=1|PronType=Prs",
"head": 14,
"id": 13,
"lemma": "I",
"start_char": 47,
"text": "I",
"upos": "PRON",
"xpos": "PRP"
},
{
"deprel": "conj",
"end_char": 52,
"feats": "Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin",
"head": 2,
"id": 14,
"lemma": "put",
"start_char": 49,
"text": "put",
"upos": "VERB",
"xpos": "VBD"
},
{
"deprel": "obj",
"end_char": 55,
"feats": "Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs",
"head": 14,
"id": 15,
"lemma": "it",
"start_char": 53,
"text": "it",
"upos": "PRON",
"xpos": "PRP"
},
{
"deprel": "case",
"end_char": 58,
"feats": null,
"head": 18,
"id": 16,
"lemma": "in",
"start_char": 56,
"text": "in",
"upos": "ADP",
"xpos": "IN"
},
{
"deprel": "det",
"end_char": 62,
"feats": "Definite=Def|PronType=Art",
"head": 18,
"id": 17,
"lemma": "the",
"start_char": 59,
"text": "the",
"upos": "DET",
"xpos": "DT"
},
{
"deprel": "obl",
"end_char": 68,
"feats": "Number=Sing",
"head": 14,
"id": 18,
"lemma": "trash",
"start_char": 63,
"text": "trash",
"upos": "NOUN",
"xpos": "NN"
},
{
"deprel": "punct",
"end_char": 69,
"feats": null,
"head": 2,
"id": 19,
"lemma": ".",
"start_char": 68,
"text": ".",
"upos": "PUNCT",
"xpos": "."
}
]
}
] | [
[
[
0,
2,
4
],
[
0,
14,
14
]
],
[
[
0,
7,
8
]
]
] | expert_generated | {
"comment": "detokenizer=source",
"source": "Ernest Davis"
} |
This dataset was generated by reformatting coref-data/davis_wsc_raw
into the indiscrim coreference format. See that repo for dataset details.
See ianporada/coref-data for additional conversion details and the conversion script.
Please create an issue in the repo above or in this dataset repo for any questions.