Datasets:
question
stringlengths 6
26
| choices
listlengths 4
4
| answer
int64 0
3
| answer_label
stringclasses 4
values | split
stringclasses 1
value | subcategories
stringclasses 1
value | category
stringclasses 1
value | lang
stringclasses 1
value | second_lang
stringclasses 1
value | notes
stringlengths 16
93
| id
stringlengths 7
7
| set_id
stringlengths 5
5
| variation_id
stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
天空的颜色是
|
[
"蓝色",
"红色",
"绿色",
"黄色"
] | 0 |
A
|
test
|
Canonical
|
zho_Hans
|
en: The color of the sky is
|
301-4.0
|
301.0
|
4.0
|
||
这栋房子的价格是150,0000元。这栋房子的价格是
|
[
"15,0000元",
"15,0000,0000元",
"1500,0000元",
"150,0000元"
] | 3 |
D
|
test
|
Canonical
|
zho_Hans
|
en: The price of this house is 2,850,000,000 Toman. The cost of this house is (only question)
|
302-4.0
|
302.0
|
4.0
|
||
今天的日期是2014年8月15日。今天的日期是
|
[
"2014/8/16",
"2014/8/15",
"2015/8/15",
"2014/7/15"
] | 1 |
B
|
test
|
Canonical
|
zho_Hans
|
en: Today's date is 15/8/1403 (in Persian Calendar). Today's date is -> (only question)
|
303-4.0
|
303.0
|
4.0
|
||
地球上大洲的数量是
|
[
"5",
"6",
"8",
"7"
] | 3 |
D
|
test
|
Canonical
|
zho_Hans
|
en: The number of continents on Earth is
|
304-4.0
|
304.0
|
4.0
|
||
伊朗的首都是
|
[
"马什哈德",
"德黑兰",
"巴格达",
"巴黎"
] | 1 |
B
|
test
|
Canonical
|
zho_Hans
|
en: The capital city of Iran is
|
305-4.0
|
305.0
|
4.0
|
||
一周的天数是
|
[
"5",
"7",
"6",
"8"
] | 1 |
B
|
test
|
Canonical
|
zho_Hans
|
en: The number of days in a week is
|
306-4.0
|
306.0
|
4.0
|
||
一天的小时数是
|
[
"20",
"25",
"24",
"30"
] | 2 |
C
|
test
|
Canonical
|
zho_Hans
|
en: The number of hours in a day is
|
307-4.0
|
307.0
|
4.0
|
||
牛的腿的条数是
|
[
"4",
"8",
"3",
"5"
] | 0 |
A
|
test
|
Canonical
|
zho_Hans
|
en: The number of legs a cow has is
|
308-4.0
|
308.0
|
4.0
|
||
2小时的分钟数是
|
[
"100",
"140",
"90",
"120"
] | 3 |
D
|
test
|
Canonical
|
zho_Hans
|
en: The number of minutes in 2 hours is
|
309-4.0
|
309.0
|
4.0
|
||
一年的月数是
|
[
"10",
"11",
"12",
"13"
] | 2 |
C
|
test
|
Canonical
|
zho_Hans
|
en: The number of months in a year is
|
310-4.0
|
310.0
|
4.0
|
||
一分钟的秒数是
|
[
"60",
"50",
"100",
"30"
] | 0 |
A
|
test
|
Canonical
|
zho_Hans
|
en: The number of seconds in a minute is
|
311-4.0
|
311.0
|
4.0
|
||
六边形的边数是
|
[
"6",
"5",
"7",
"8"
] | 0 |
A
|
test
|
Canonical
|
zho_Hans
|
en: The number of sides a hexagon has is
|
312-4.0
|
312.0
|
4.0
|
||
三角形的边数是
|
[
"2",
"4",
"5",
"3"
] | 3 |
D
|
test
|
Canonical
|
zho_Hans
|
en: The number of sides a triangle has is
|
313-4.0
|
313.0
|
4.0
|
||
在"我在苹果公司工作"中,苹果是一个
|
[
"人",
"公司",
"城市",
"物品"
] | 1 |
B
|
test
|
Canonical
|
zho_Hans
|
en: In "I work at Apple", Apple is a
|
314-4.0
|
314.0
|
4.0
|
||
在"我在谷歌工作"中,谷歌是一个
|
[
"人",
"城市",
"公司",
"物品"
] | 2 |
C
|
test
|
Canonical
|
zho_Hans
|
en: In "I work at Google", Google is a
|
315-4.0
|
315.0
|
4.0
|
||
在"微软发布了新更新"中,微软是一个
|
[
"公司",
"人",
"地点",
"日期"
] | 0 |
A
|
test
|
Canonical
|
zho_Hans
|
en: In "Microsoft released a new update", Microsoft is a
|
316-4.0
|
316.0
|
4.0
|
||
在"猫坐在垫子上"中,主语是
|
[
"猫",
"坐",
"垫子",
"在"
] | 0 |
A
|
test
|
Canonical
|
zho_Hans
|
en: In "The cat sat on the mat", the subject is
|
317-4.0
|
317.0
|
4.0
|
||
人类生存需要呼吸的气体是
|
[
"甲烷",
"氦气",
"氢气",
"氧气"
] | 3 |
D
|
test
|
Canonical
|
zho_Hans
|
en: The gas humans need to breathe to live is
|
322-4.0
|
322.0
|
4.0
|
||
100的10%是
|
[
"5",
"15",
"10",
"20"
] | 2 |
C
|
test
|
Canonical
|
zho_Hans
|
en: 10% of 100 is
|
323-4.0
|
323.0
|
4.0
|
||
80的25%是
|
[
"15",
"20",
"25",
"30"
] | 1 |
B
|
test
|
Canonical
|
zho_Hans
|
en: 25% of 80 is
|
324-4.0
|
324.0
|
4.0
|
||
英国的首都是
|
[
"罗马",
"伦敦",
"巴黎",
"慕尼黑"
] | 1 |
B
|
test
|
Canonical
|
zho_Hans
|
en: The capital of England is
|
326-4.0
|
326.0
|
4.0
|
||
法国的首都是
|
[
"伦敦",
"巴黎",
"柏林",
"罗马"
] | 1 |
B
|
test
|
Canonical
|
zho_Hans
|
en: The capital of France is
|
327-4.0
|
327.0
|
4.0
|
||
日本的首都是
|
[
"京都",
"大阪",
"广岛",
"东京"
] | 3 |
D
|
test
|
Canonical
|
zho_Hans
|
en: The capital of Japan is
|
328-4.0
|
328.0
|
4.0
|
||
土耳其的首都是
|
[
"德黑兰",
"安卡拉",
"伊兹密尔",
"布尔萨"
] | 1 |
B
|
test
|
Canonical
|
zho_Hans
|
en: The capital of Turkey is
|
329-4.0
|
329.0
|
4.0
|
||
水的化学分子式是
|
[
"CO2",
"H2O",
"NaCl",
"O2"
] | 1 |
B
|
test
|
Canonical
|
zho_Hans
|
en: The chemical formula for water is
|
330-4.0
|
330.0
|
4.0
|
||
“商店什么时候关门?”的意图是
|
[
"购买",
"预约",
"投诉",
"获取信息"
] | 3 |
D
|
test
|
Canonical
|
zho_Hans
|
en: The intent in "What time does the store close?" is
|
331-4.0
|
331.0
|
4.0
|
||
世界上最大的哺乳动物是
|
[
"狮子",
"老虎",
"熊",
"蓝鲸"
] | 3 |
D
|
test
|
Canonical
|
zho_Hans
|
en: The largest mammal in the world is
|
332-4.0
|
332.0
|
4.0
|
||
国际单位制中温度的计量单位是
|
[
"摄氏度",
"米",
"开尔文",
"兰氏度"
] | 2 |
C
|
test
|
Canonical
|
zho_Hans
|
en: The unit of measurement for temperature in the International System is
|
333-4.0
|
333.0
|
4.0
|
||
NASA所属的国家是
|
[
"俄罗斯",
"中国",
"美国",
"日本"
] | 2 |
C
|
test
|
Canonical
|
zho_Hans
|
en: The country whose space agency is NASA is
|
334-4.0
|
334.0
|
4.0
|
||
巴西使用的语言是
|
[
"西班牙语",
"法语",
"意大利语",
"葡萄牙语"
] | 3 |
D
|
test
|
Canonical
|
zho_Hans
|
en: The language spoken in Brazil is
|
335-4.0
|
335.0
|
4.0
|
||
化学符号为'Fe'的金属是
|
[
"铅",
"铁",
"锌",
"金"
] | 1 |
B
|
test
|
Canonical
|
zho_Hans
|
en: The metal with chemical symbol 'Fe' is
|
336-4.0
|
336.0
|
4.0
|
||
人体中负责泵血的器官是
|
[
"肝脏",
"肺",
"肾脏",
"心脏"
] | 3 |
D
|
test
|
Canonical
|
zho_Hans
|
en: The organ in the human body that pumps blood is
|
337-4.0
|
337.0
|
4.0
|
||
太阳系中离太阳最近的行星是
|
[
"金星",
"火星",
"水星",
"地球"
] | 2 |
C
|
test
|
Canonical
|
zho_Hans
|
en: The planet closest to the Sun in our solar system is
|
338-4.0
|
338.0
|
4.0
|
||
太阳系中最大的行星是
|
[
"地球",
"土星",
"火星",
"木星"
] | 3 |
D
|
test
|
Canonical
|
zho_Hans
|
en: The largest planet in the Solar System is
|
339-4.0
|
339.0
|
4.0
|
||
植物利用阳光自己制造食物的过程是
|
[
"呼吸作用",
"消化作用",
"光合作用",
"发酵作用"
] | 2 |
C
|
test
|
Canonical
|
zho_Hans
|
en: The process that allows plants to produce their own food using sunlight is
|
340-4.0
|
340.0
|
4.0
|
||
创作戏剧《罗密欧与朱丽叶》的作者是
|
[
"威廉·莎士比亚",
"查尔斯·狄更斯",
"马克·吐温",
"简·奥斯汀"
] | 0 |
A
|
test
|
Canonical
|
zho_Hans
|
en: The author who wrote the play "Romeo and Juliet" is
|
341-4.0
|
341.0
|
4.0
|
||
蜜蜂生产的是
|
[
"牛奶",
"蜂蜜",
"丝绸",
"蜡"
] | 1 |
B
|
test
|
Canonical
|
zho_Hans
|
en: What bees produce is
|
342-4.0
|
342.0
|
4.0
|
||
植物制造食物需要从空气中获取的是
|
[
"氮气",
"氢气",
"二氧化碳",
"氦气"
] | 2 |
C
|
test
|
Canonical
|
zho_Hans
|
en: What plants need from the air to make food is
|
343-4.0
|
343.0
|
4.0
|
||
在"请帮我预订去巴黎的航班"中,这个人想要
|
[
"逛街",
"预订",
"投诉",
"取消"
] | 1 |
B
|
test
|
Canonical
|
zho_Hans
|
en: In "Can you please book a flight to Paris?", the person wants
|
344-4.0
|
344.0
|
4.0
|
||
王小明是医生。王小明是
|
[
"教师",
"法官",
"医生",
"律师"
] | 2 |
C
|
test
|
Canonical
|
zho_Hans
|
en: Dr Ahmadi is a Doctor. Dr Ahmadi is a
|
300-4.0
|
300.0
|
4.0
|
Dataset Card for Tokenization Robustness
A comprehensive evaluation dataset for testing robustness of different tokenization strategies.
Dataset Details
Dataset Description
This dataset evaluates how robust language models are to different tokenization strategies and edge cases. It includes text completion questions with multiple choice answers designed to test various aspects of tokenization handling.
- Curated by: R3
- Funded by [optional]: [More Information Needed]
- Shared by [optional]: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: cc
Dataset Sources [optional]
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
Direct Use
[More Information Needed]
Out-of-Scope Use
[More Information Needed]
Dataset Structure
The dataset contains multiple-choice questions with associated metadata about tokenization types and categories.
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Data Collection and Processing
[More Information Needed]
Who are the source data producers?
[More Information Needed]
Annotations [optional]
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Bias, Risks, and Limitations
The dataset focuses primarily on English text and may not generalize to other languages or tokenization schemes not covered in the evaluation.
Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
Citation [optional]
BibTeX:
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APA:
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Glossary [optional]
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