Datasets:
sxu
/
CANLI

Languages: cn
Multilinguality: monolingual
Size Categories: 1K<n<10K
Language Creators: expert-generated
Annotations Creators: expert-generated
Licenses: afl-3.0
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Unnamed: 0 (int64)label (int64)sentence1 (string)sentence2 (string)
0
0
"殿堂门多半是让附近的农人摘走了"
"殿堂门多半摘走附近的农人了"
1
1
"殿堂门多半是让附近的农人摘走了"
"附近的农人多半摘走殿堂门了"
2
0
"我们让小四儿给他记录了"
"我们给他记录了"
3
1
"我们让小四儿给他记录了"
"小四儿给他记录了"
4
0
"那种黑曜石我只有一块,让针眼偷走了"
"那种黑曜石偷走针眼了"
5
1
"那种黑曜石我只有一块,让针眼偷走了"
"针眼偷走了那种黑曜石了"
6
0
"这些年看到的事,让我对人类已经失望了"
"这些年看到的事对人类已经失望了"
7
1
"这些年看到的事,让我对人类已经失望了"
"我对人类已经失望了"
8
0
"工程又让个别人承包了"
"工程又承包个别人了"
9
1
"工程又让个别人承包了"
"个别人又承包工程了"
10
1
"小李让老太婆碰了一鼻子灰"
"老太婆碰了一鼻子灰"
11
0
"小李让老太婆碰了一鼻子灰"
"小李碰了一鼻子灰"
12
1
"发出去的货让销售点判定过期变质给退了回来"
"销售点把发出去的货判定过期变质给退了回来"
13
0
"发出去的货让销售点判定过期变质给退了回来"
"发出去的货把销售点判定过期变质给退了回来"
14
1
"她好端端地睡觉,也是让人伏击了"
"有人也伏击了她了"
15
0
"她好端端地睡觉,也是让人伏击了"
"她也伏击了人了"
16
0
"刘跃进没让他抓住"
"刘跃进没把他抓住"
17
1
"刘跃进没让他抓住"
"他没把刘跃进抓住"
18
0
"落后话让人家都听见了"
"落后话都听见了人家了"
19
1
"落后话让人家都听见了"
"人家都听见了落后话了"
20
0
"再者说我们也让人管惯了"
"我们再者说也管惯人了"
21
1
"再者说我们也让人管惯了"
"再者说有人也管惯我们了"
22
1
"你们怎么能就让他们生这么给掉了包儿?"
"他们怎么就把你们生这么给掉了包儿"
23
0
"你们怎么能就让他们生这么给掉了包儿?"
"你们怎么就把他们生这么给掉了包儿"
24
1
"四婶把坟上一把土抓了让白雪用孝衣襟包了"
"白雪用孝衣襟包了"
25
0
"四婶把坟上一把土抓了让白雪用孝衣襟包了"
"四婶用孝衣襟包了"
26
1
"李秀梅那十七岁的儿子魂是让什么给吓跑的"
"什么把李秀梅那十七岁的儿子魂吓跑"
27
0
"李秀梅那十七岁的儿子魂是让什么给吓跑的"
"李秀梅那十七岁的儿子魂把什么吓跑"
28
1
"因为你们让我活下来了"
"我活下来了"
29
0
"因为你们让我活下来了"
"你们活下来了"
30
0
"我现在已经让我的司机在整修它了"
"我现在已经在整修它了"
31
1
"我现在已经让我的司机在整修它了"
"我的司机现在已经在整修它了"
32
0
"国民党兵站岗,也不让我们进了"
"国民党兵站岗也不进了"
33
1
"国民党兵站岗,也不让我们进了"
"我们也不进了"
34
0
"徐德亮让学校劝退了"
"徐德亮劝退了学校了"
35
1
"徐德亮让学校劝退了"
"学校劝退了徐德亮了"
36
1
"我又让两个学生自己操作了一遍"
"两个学生自己又操作了一遍"
37
0
"我又让两个学生自己操作了一遍"
"我又操作了一遍"
38
1
"麦子让八路军截走了"
"八路军截走了麦子了"
39
0
"麦子让八路军截走了"
"麦子截走了八路军了"
40
0
"大奶奶从自家碗橱里找了一个碗让姐姐端回来"
"大奶奶从自家碗橱里找了一个端回来"
41
1
"大奶奶从自家碗橱里找了一个碗让姐姐端回来"
"姐姐从自家碗橱里找了一个端回来"
42
1
"这回的教训让她认准了两条道理"
"她认准了两条道理"
43
0
"这回的教训让她认准了两条道理"
"这回的教训认准了两条道理"
44
1
"这对父母可是让方枪枪失了望"
"方枪枪可是失了望"
45
0
"这对父母可是让方枪枪失了望"
"这对父母可是失了望"
46
1
"母亲就不让他念书了"
"他就不念书了"
47
0
"母亲就不让他念书了"
"母亲就不念书了"
48
0
"庆金却让竹青快拿了老醋去瞎瞎家了"
"庆金却快拿了老醋去瞎瞎家了"
49
1
"庆金却让竹青快拿了老醋去瞎瞎家了"
"竹青却快拿了老醋去瞎瞎家了"
50
0
"人们又让李洛玉给说的有些糊涂了"
"人们又把李洛玉说的有些糊涂了"
51
1
"人们又让李洛玉给说的有些糊涂了"
"李洛玉给说的又有些糊涂人们了"
52
0
"你是不是让他们气疯了"
"你气疯了他们了"
53
1
"你是不是让他们气疯了"
"他们气疯了你了"
54
0
"我让他看得不好意思"
"我把他看得不好意思"
55
1
"我让他看得不好意思"
"他把我看得不好意思"
56
0
"曹哥让刘跃进再想想"
"曹哥再想想"
57
1
"曹哥让刘跃进再想想"
"刘跃进再想想"
58
1
"队长让他趁早换人了"
"他趁早换人了"
59
0
"队长让他趁早换人了"
"队长趁早换人了"
60
0
"幸福让它们冲昏了头脑"
"幸福冲昏了头脑"
61
1
"幸福让它们冲昏了头脑"
"它们冲昏了头脑"
62
1
"凄惨的叫声让柳莎停止了采摘"
"柳莎停止了采摘"
63
0
"凄惨的叫声让柳莎停止了采摘"
"凄惨的叫声停止了采摘"
64
1
"你让她当了女王"
"她当了女王"
65
0
"你让她当了女王"
"你当了女王"
66
1
"您说这话可太让人伤心了"
"人可太伤心了"
67
0
"您说这话可太让人伤心了"
"您可太伤心了"
68
1
"这事让高局长知道了"
"高局长知道了这事"
69
0
"我妈让人给我捎了些肠来"
"我妈给我捎了些肠来"
70
1
"我妈让人给我捎了些肠来"
"人给我捎了些肠来"
71
0
"巴黎的巴士底狱早在二百来年前就让人民给拆了"
"巴黎的巴士底狱早在二百来年前就把人民拆了"
72
1
"巴黎的巴士底狱早在二百来年前就让人民给拆了"
"人民早在二百来年前就拆了巴黎的巴士底狱了"
73
0
"客人都让你给闹得不得安生"
"客人都把你闹得不得安生"
74
1
"客人都让你给闹得不得安生"
"你都把客人闹得不得安生"
75
0
"傻小子,你又让人家戏耍了"
"你又戏耍了人家了"
76
1
"傻小子,你又让人家戏耍了"
"人家又戏耍了你了"
77
0
"他的手让锤子打破了"
"他的手打破了锤子了"
78
1
"他的手让锤子打破了"
"锤子打破了他的手了"
79
0
"我的银子让人抢了"
"我的银子抢人了"
80
1
"我的银子让人抢了"
"有人抢我的银子了"
81
1
"没想到一夜之间,成熟待卖的珠贝让毛贼偷了个精光"
"毛贼一夜之间把成熟待卖的珠贝偷了个精光"
82
0
"没想到一夜之间,成熟待卖的珠贝让毛贼偷了个精光"
"成熟待卖的珠贝一夜之间把毛贼偷了个精光"
83
0
"卡车都让他一把火烧了"
"卡车都一把火烧他了"
84
1
"卡车都让他一把火烧了"
"他都一把火烧卡车了"
85
1
"史今的苦笑已经频繁得让脸上出了两条笑纹"
"脸出了两条笑纹"
86
0
"史今的苦笑已经频繁得让脸上出了两条笑纹"
"史今的苦笑出了两条笑纹"
87
0
"那个女人让殷元中弃了那担菜,马上就跟她走"
"那个女人弃了那担菜"
88
1
"那个女人让殷元中弃了那担菜,马上就跟她走"
"殷元中弃了那担菜"
89
1
"当初你们让我们种,现在又不要了"
"我们当初种了"
90
0
"当初你们让我们种,现在又不要了"
"你们当初种了"
91
0
"好东西,让你们糟蹋了"
"好东西糟蹋了你们了"
92
1
"好东西,让你们糟蹋了"
"你们糟蹋了好东西了"
93
0
"永远无法满足的饥渴,让我们成了让父母伤心的儿子"
"永远无法满足的饥渴成了让父母伤心的儿子"
94
1
"永远无法满足的饥渴,让我们成了让父母伤心的儿子"
"我们成了让父母伤心的儿子"
95
0
"我们这一辈儿的让文革耽误了青春"
"我们这一辈儿的耽误了文革青春"
96
1
"我们这一辈儿的让文革耽误了青春"
"文革把我们这一辈儿的耽误了青春"
97
0
"递到眼前的口粮让成才怒火中烧"
"递到眼前的口粮怒火中烧"
98
1
"递到眼前的口粮让成才怒火中烧"
"成才怒火中烧"
99
0
"姑姑让她杀人了"
"姑姑杀人了"
End of preview (truncated to 100 rows)

Dataset Card for CANLI

Dataset Summary

CANLI: The Chinese Causative-Passive Homonymy Disambiguation: an Adversarial Dataset for NLI and a Probing Task

The disambiguation of causative-passive homonymy (CPH) is potentially tricky for machines, as the causative and the passive are not distinguished by the sentences syntactic structure. By transforming CPH disambiguation to a challenging natural language inference (NLI) task, we present the first Chinese Adversarial NLI challenge set (CANLI). We show that the pretrained transformer model RoBERTa, fine-tuned on an existing large-scale Chinese NLI benchmark dataset, performs poorly on CANLI. We also employ Word Sense Disambiguation as a probing task to investigate to what extent the CPH feature is captured in the models internal representation. We find that the models performance on CANLI does not correspond to its internal representation of CPH, which is the crucial linguistic ability central to the CANLI dataset.

Languages

Chinese Mandarin

Citation Information

    @inproceedings{sxu-etal-2022,
        title = "The Chinese Causative-Passive Homonymy Disambiguation: an Adversarial Dataset for NLI and a Probing Task",
        author = "Shanshan, Xu  and Katja, Markert",
        booktitle = "Proceedings of the 13th Language Resources and Evaluation Conference",
        year = "2022",
        address = "Marseille, France",
        publisher = "European Language Resources Association",
        language = "English",
    }
    
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