sentence1 string	sentence2 string	label class label 1 classes	idx int32 0 3.86k
"借呗什么时候会取消"	"蚂蚁借呗什么时候可以恢复***个月"	-1 (no label)	0
"网商贷怎么转变成借呗"	"如何将网商贷切换为借呗"	-1 (no label)	1
"我的借呗为啥开通不了"	"我怎么没法开通借呗"	-1 (no label)	2
"蚂蚁借呗额度怎么不显示了"	"蚂蚁借呗额度不显示了"	-1 (no label)	3
"我的借呗没用给关闭了"	"把我的借呗关了"	-1 (no label)	4
"为什么花呗还了负面信息显示的还是待处理"	"我借呗钱还了为什么还显示我有负面记录处理"	-1 (no label)	5
"如何使花呗积分兑换提现额度"	"蚂蚁花呗积分兑换额度怎么提现"	-1 (no label)	6
"借呗打开显示申请额度是什么"	"申请借呗后才可以知道额度吗"	-1 (no label)	7
"提示可以花呗分期付款"	"花呗分期付款，产生退货"	-1 (no label)	8
"我想临时提高借呗额度"	"借呗临时额度有效期是多久"	-1 (no label)	9
"将网商贷换成借呗"	"网商贷可以变回借呗不"	-1 (no label)	10
"我的花呗为什么还是无法开通"	"我这个账号为什么开通不了蚂蚁花呗"	-1 (no label)	11
"蚂蚁么借呗如何提升额度"	"借呗咋样提生额度"	-1 (no label)	12
"花呗拖期后就不能使用了吗"	"我还能再用花呗吗"	-1 (no label)	13
"借呗提前还本金什么意思"	"借呗可以提前还部分本金么"	-1 (no label)	14
"我要关蚂蚁借呗"	"能把我的借呗冻结了吗"	-1 (no label)	15
"如何把花呗换到常用支付宝"	"花呗怎么换支付宝登录"	-1 (no label)	16
"瑜伽馆可以申请蚂蚁花呗收款码吗"	"可以申请花呗收款码吗"	-1 (no label)	17
"我的里面没有花呗这个选项呀"	"为什么我手机里没有花呗"	-1 (no label)	18
"怎么使用花呗付款"	"不想使用花呗为首选支付"	-1 (no label)	19
"花呗最低还款是什么意思"	"剩余未还的金额是全额计入下个月最低还款额吗"	-1 (no label)	20
"芝麻信用分***，借呗有多少额度"	"我借呗额度是***元，最多能借多少钱"	-1 (no label)	21
"我的花呗怎么冲不了话费的"	"花呗扫码用不了"	-1 (no label)	22
"花呗分期线下服务商"	"申请花呗分期服务商"	-1 (no label)	23
"第一次使用花呗，为什么提示商品单价大于等于***才可使用花呗"	"花呗的单价必须大于***才可以使用吗"	-1 (no label)	24
"花呗不能使用了还能再开么"	"还款完之后花呗无法使用，能不能开通"	-1 (no label)	25
"美团为什么不能使用花呗付款"	"为什么在美团外卖上用不了花呗"	-1 (no label)	26
"花呗使用最低还款之后可用额度能恢复吗"	"逾期还款，款已经还了，怎么恢复花呗使用"	-1 (no label)	27
"花呗还款分欺可以继续借不"	"花呗还款了可以马上借吗"	-1 (no label)	28
"借呗到时间可以分期吗"	"借呗可以分期自己还吗"	-1 (no label)	29
"蚂蚁借呗不恢复坚决不用支付宝"	"蚂蚁借呗什么时候恢复十二期"	-1 (no label)	30
"花呗首单立减***元"	"花呗立减***元什么意思"	-1 (no label)	31
"借呗还款日不能更改吗"	"蚂蚁借呗可以可以改一下还款日期吗"	-1 (no label)	32
"我刚把卡里面的钱转到花呗里面了"	"刚刚用的是花呗，里面的，可以登里面，我这个卡里面的钱可以转到卡里的钱"	-1 (no label)	33
"在哪里设置自动还款花呗"	"花呗自动还款信用卡还不了吗"	-1 (no label)	34
"不是这个就是不是可以把花呗设置为首选付款方式吗那我怎么样才能把它设置为不是首选的"	"花呗设置首选付款方式怎么设置"	-1 (no label)	35
"银行卡支付过了为什么还要还花呗"	"为什么花呗已经还款，还要我还"	-1 (no label)	36
"共享单车花呗为什么付不了押金"	"为何无法使用花呗支付单车押金"	-1 (no label)	37
"本月花呗为什么不能分期"	"花呗分期为什么不能红包付款"	-1 (no label)	38
"花呗怎样收信用卡款"	"用信用卡好还是用支付宝花呗"	-1 (no label)	39
"多少钱花呗才可以分期"	"花呗分期一次过后可以再次分期吗"	-1 (no label)	40
"花呗号码不是支付宝号码怎么改"	"把花呗里的钱怎么办换到支付宝"	-1 (no label)	41
"为什么之前蚂蚁借呗开通了现在又关闭了"	"之前开通了借呗现在怎么又关闭了"	-1 (no label)	42
"花呗推迟***天还款可以吗"	"花呗显示*号前还款 *号还可以吗"	-1 (no label)	43
"为什么我用花呗交电费以后还一直欠费"	"我都付清花呗怎么还显示欠费"	-1 (no label)	44
"借呗可以分批还吗"	"借呗可分***期吗"	-1 (no label)	45
"可以帮我查查为什么我来不了花呗吗"	"为什么我一直不能开同花呗"	-1 (no label)	46
"花呗可以叫宽带吗"	"花呗可以还宽带嘛……"	-1 (no label)	47
"借呗***天怎么操作"	"怎么可以用借呗"	-1 (no label)	48
"我怎么不能提前还完花呗的钱"	"花呗怎么不能提前还下一个月的帐"	-1 (no label)	49
"商家花呗没收到钱"	"花呗转给商户的钱没到"	-1 (no label)	50
"我不要花呗"	"你给我把花呗关了吧"	-1 (no label)	51
"借呗的钱还了，为什么还显示还钱"	"我借呗里面为什么我还款完成了还有两千欠款"	-1 (no label)	52
"花呗收款码二维码能不能下载的"	"门店设置二维码收款花呗"	-1 (no label)	53
"花呗一直显示繁忙是什么原因"	"点击花呗出现一个系统繁忙是怎么回事"	-1 (no label)	54
"我借呗还款，手机收不到验证码怎么办"	"使用蚂蚁借呗借钱收不到验证码"	-1 (no label)	55
"蚂蚁借呗借一万只能***号还"	"蚂蚁借呗可以借***天然后还，可以吗"	-1 (no label)	56
"商家开通蚂蚁花呗支付怎么弄"	"怎么解除蚂蚁花呗"	-1 (no label)	57
"我花呗的钱退款成功了，为啥还要还款"	"我的花呗还掉了为什么还要还六百多"	-1 (no label)	58
"怎么增加借呗额度"	"怎么样提高蚂蚁借呗的额度"	-1 (no label)	59
"我花呗下月还款***是什么"	"花呗我的是主动还款的"	-1 (no label)	60
"我花呗充值话费充错了，充到空号里了，能不能退还给我"	"花呗话费充错可以退回吗"	-1 (no label)	61
"之前花呗逾期过，现在怎么可以用淘宝"	"怎么使用花呗在淘宝购物"	-1 (no label)	62
"为什么显示让我在另一个支付宝账号能用花呗"	"花呗显示另一个账户开通，怎么找回"	-1 (no label)	63
"借呗系统什么时候会评估"	"蚂蚁借呗没通过审核啥时候会再次评估"	-1 (no label)	64
"我的花呗收款开了，为什么顾客付不了"	"我开通了花呗，为什么不能花呗收款"	-1 (no label)	65
"花呗可以帮我调高点吗"	"花呗调低额度多久可以再调"	-1 (no label)	66
"花呗免单盒子钥匙"	"花呗盒子免单最低一笔"	-1 (no label)	67
"我刚刚借呗借的*** 显示到账成功可是没有银行信息显示钱到"	"借呗提示到账但是没有短信"	-1 (no label)	68
"蚂蚁借呗额度达到多少才能申请"	"主动申请借呗可以申请多少额度"	-1 (no label)	69
"花呗可以购买虚拟商品吗"	"花呗可以虚拟交易吗"	-1 (no label)	70
"花呗额度做了分期了，已经还了一期，剩下的余额，我可不可以一次性还清"	"花呗分期付款了能一次性还清吗"	-1 (no label)	71
"借呗看不见了"	"借吧怎么不见了"	-1 (no label)	72
"花呗分期了，能提前还清吗"	"花呗分期能提前还一个月吗"	-1 (no label)	73
"花呗扣了为什么确认收货还扣一次"	"为什么花呗我没有用，扣除了我***元"	-1 (no label)	74
"花呗消费有什么好处和坏处"	"花呗业务有什么好处"	-1 (no label)	75
"蚂蚁借呗需要多少额度"	"蚂蚁借呗一个月流动资金多少才会有额度"	-1 (no label)	76
"查询花呗额度"	"现在能先查一下我的花呗额度吗"	-1 (no label)	77
"退款到花呗怎么没见到显示"	"为什么花呗退款后没有显示"	-1 (no label)	78
"花呗账单分期想提前还款"	"花呗分期还，可以提前分期还款吗"	-1 (no label)	79
"现在退款可以直接退到花呗上吗"	"用花呗付的款退货钱能退到花呗吗"	-1 (no label)	80
"天猫购可用花呗吗"	"淘宝花呗分期可信吗"	-1 (no label)	81
"店主怎么开通花呗支付"	"开通花呗怎么在淘宝里用"	-1 (no label)	82
"可以绑定银行卡直接扣款蚂蚁借呗吗"	"借呗可以用绑定的银行卡还吗"	-1 (no label)	83
"蚂蚁借呗错过扣款时间"	"蚂蚁借呗到了还款时间是自动扣支付宝余额吗"	-1 (no label)	84
"我的一笔单是在线支付，为什么显示是花呗消费未付款"	"支付宝花呗交易成功，但是美团显示未支付"	-1 (no label)	85
"支付用花呗支付的，现在退款了，钱到哪里去了"	"用花呗付款，退的钱退到哪里去了"	-1 (no label)	86
"摩拜单车压金退了没退到花呗上，压金是用花呗付的"	"摩拜单车用银行卡付的退的很慢之前用花呗很快"	-1 (no label)	87
"还没有到账"	"我这有笔借账怎么没到"	-1 (no label)	88
"借呗可以把钱转到银行卡里吗"	"借呗能转到银行卡么"	-1 (no label)	89
"支付宝临时花呗额度还款能不能分期还"	"临时花呗额度可以分期还吗"	-1 (no label)	90
"蚂蚁花呗分期付款后还能再分期吗"	"花呗分期还款后，第二个月还能分期吗"	-1 (no label)	91
"我想取消花呗的临时额度"	"取消以前的号码的花呗"	-1 (no label)	92
"花呗可以充值q币之类的吗"	"花呗能支持充值q币吗"	-1 (no label)	93
"怎么删除花呗还款纪录"	"花呗还款之后怎么删除这条账单信息"	-1 (no label)	94
"我的借呗还不了怎么办"	"蚂蚁借呗不能一个月还款怎么办"	-1 (no label)	95
"要消费多少才有借呗额度"	"借呗能借多少钱"	-1 (no label)	96
"蚂蚁借呗提前还款违约金怎么算"	"借呗提前还款怎么算"	-1 (no label)	97
"花呗付款怎么转换成银行卡付款"	"怎样用花呗付款"	-1 (no label)	98
"我以前的花呗不记得的密码和账号了"	"花呗账号密码怎么办"	-1 (no label)	99

Dataset Card for "clue"

Dataset Summary

CLUE, A Chinese Language Understanding Evaluation Benchmark (https://www.cluebenchmarks.com/) is a collection of resources for training, evaluating, and analyzing Chinese language understanding systems.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

afqmc

Size of downloaded dataset files: 1.20 MB
Size of the generated dataset: 4.20 MB
Total amount of disk used: 5.40 MB

An example of 'validation' looks as follows.

{
    "idx": 0,
    "label": 0,
    "sentence1": "双十一花呗提额在哪",
    "sentence2": "里可以提花呗额度"
}

c3

Size of downloaded dataset files: 3.20 MB
Size of the generated dataset: 15.69 MB
Total amount of disk used: 18.90 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "answer": "比人的灵敏",
    "choice": ["没有人的灵敏", "和人的差不多", "和人的一样好", "比人的灵敏"],
    "context": "[\"许多动物的某些器官感觉特别灵敏，它们能比人类提前知道一些灾害事件的发生，例如，海洋中的水母能预报风暴，老鼠能事先躲避矿井崩塌或有害气体，等等。地震往往能使一些动物的某些感觉器官受到刺激而发生异常反应。如一个地区的重力发生变异，某些动物可能通过它们的平衡...",
    "id": 1,
    "question": "动物的器官感觉与人的相比有什么不同?"
}

chid

Size of downloaded dataset files: 139.20 MB
Size of the generated dataset: 274.08 MB
Total amount of disk used: 413.28 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "answers": {
        "candidate_id": [3, 5, 6, 1, 7, 4, 0],
        "text": ["碌碌无为", "无所作为", "苦口婆心", "得过且过", "未雨绸缪", "软硬兼施", "传宗接代"]
    },
    "candidates": "[\"传宗接代\", \"得过且过\", \"咄咄逼人\", \"碌碌无为\", \"软硬兼施\", \"无所作为\", \"苦口婆心\", \"未雨绸缪\", \"和衷共济\", \"人老珠黄\"]...",
    "content": "[\"谈到巴萨目前的成就，瓜迪奥拉用了“坚持”两个字来形容。自从上世纪90年代克鲁伊夫带队以来，巴萨就坚持每年都有拉玛西亚球员进入一队的传统。即便是范加尔时代，巴萨强力推出的“巴萨五鹰”德拉·佩纳、哈维、莫雷罗、罗杰·加西亚和贝拉乌桑几乎#idiom0000...",
    "idx": 0
}

cluewsc2020

Size of downloaded dataset files: 0.28 MB
Size of the generated dataset: 1.03 MB
Total amount of disk used: 1.29 MB

An example of 'train' looks as follows.

{
    "idx": 0,
    "label": 1,
    "target": {
        "span1_index": 3,
        "span1_text": "伤口",
        "span2_index": 27,
        "span2_text": "它们"
    },
    "text": "裂开的伤口涂满尘土，里面有碎石子和木头刺，我小心翼翼把它们剔除出去。"
}

cmnli

Size of downloaded dataset files: 31.40 MB
Size of the generated dataset: 72.12 MB
Total amount of disk used: 103.53 MB

An example of 'train' looks as follows.

{
    "idx": 0,
    "label": 0,
    "sentence1": "从概念上讲，奶油略读有两个基本维度-产品和地理。",
    "sentence2": "产品和地理位置是使奶油撇油起作用的原因。"
}

Data Fields

The data fields are the same among all splits.

afqmc

sentence1: a string feature.
sentence2: a string feature.
label: a classification label, with possible values including 0 (0), 1 (1).
idx: a int32 feature.

c3

id: a int32 feature.
context: a list of string features.
question: a string feature.
choice: a list of string features.
answer: a string feature.

chid

idx: a int32 feature.
candidates: a list of string features.
content: a list of string features.
answers: a dictionary feature containing:
- text: a string feature.
- candidate_id: a int32 feature.

cluewsc2020

idx: a int32 feature.
text: a string feature.
label: a classification label, with possible values including true (0), false (1).
span1_text: a string feature.
span2_text: a string feature.
span1_index: a int32 feature.
span2_index: a int32 feature.

cmnli

sentence1: a string feature.
sentence2: a string feature.
label: a classification label, with possible values including neutral (0), entailment (1), contradiction (2).
idx: a int32 feature.

Data Splits

name	train	validation	test
afqmc	34334	4316	3861
c3	11869	3816	3892
chid	84709	3218	3231
cluewsc2020	1244	304	290
cmnli	391783	12241	13880

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information

@inproceedings{xu-etal-2020-clue,
    title = "{CLUE}: A {C}hinese Language Understanding Evaluation Benchmark",
    author = "Xu, Liang  and
      Hu, Hai  and
      Zhang, Xuanwei  and
      Li, Lu  and
      Cao, Chenjie  and
      Li, Yudong  and
      Xu, Yechen  and
      Sun, Kai  and
      Yu, Dian  and
      Yu, Cong  and
      Tian, Yin  and
      Dong, Qianqian  and
      Liu, Weitang  and
      Shi, Bo  and
      Cui, Yiming  and
      Li, Junyi  and
      Zeng, Jun  and
      Wang, Rongzhao  and
      Xie, Weijian  and
      Li, Yanting  and
      Patterson, Yina  and
      Tian, Zuoyu  and
      Zhang, Yiwen  and
      Zhou, He  and
      Liu, Shaoweihua  and
      Zhao, Zhe  and
      Zhao, Qipeng  and
      Yue, Cong  and
      Zhang, Xinrui  and
      Yang, Zhengliang  and
      Richardson, Kyle  and
      Lan, Zhenzhong",
    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "International Committee on Computational Linguistics",
    url = "https://aclanthology.org/2020.coling-main.419",
    doi = "10.18653/v1/2020.coling-main.419",
    pages = "4762--4772",
}