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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]

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  • Demo [optional]: [More Information Needed]

Uses

Direct Use

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Out-of-Scope Use

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Dataset Structure

The dataset contains multiple-choice questions with associated metadata about tokenization types and categories.

Dataset Creation

Curation Rationale

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Source Data

Data Collection and Processing

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Who are the source data producers?

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Annotations [optional]

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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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.

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