tokenization_robustness
Collection
28 items
•
Updated
Datasets:
Dataset Viewer
question
string | choices
list | answer
int64 | answer_label
string | split
string | subcategories
string | lang
string | second_lang
string | coding_lang
string | notes
string | id
string | set_id
float64 | variation_id
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
If a meeting starts at 2:30 PM and lasts 90 minutes, when does it end?
|
[
"3:30 PM",
"4:30 PM",
"4:00 PM",
"3:00 PM"
] | 2 |
C
|
dev
|
Relative time expressions
|
eng_Latn
|
Time colon
|
81-1.0
| 81 |
1.0
|
||
John was born on 05/17/01 in the US. In 2025, how old is he?
|
[
"20",
"26",
"24",
"23"
] | 2 |
C
|
dev
|
Locality-dependent formats
|
eng_Latn
|
US context reasoning
|
221-1.0
| 221 |
1.0
|
||
An American couple married on 12/25/20. How many years were they married for in 2025?
|
[
"13",
"6",
"10",
"5"
] | 3 |
D
|
dev
|
Date formats
|
eng_Latn
|
US wedding context
|
224-1.0
| 224 |
1.0
|
||
Sarah graduated from UCLA on 06/15/23. How many years since graduation in 2025?
|
[
"1",
"3",
"4",
"2"
] | 3 |
D
|
dev
|
Date formats
|
eng_Latn
|
US graduation context
|
226-1.0
| 226 |
1.0
|
||
Microsoft was founded on 04/04/75. How old is the company in 2025?
|
[
"49",
"51",
"48",
"50"
] | 3 |
D
|
dev
|
Date formats
|
eng_Latn
|
US company founding
|
231-1.0
| 231 |
1.0
|
||
American court case filed 09/11/20. Years since filing in 2025?
|
[
"4",
"6",
"5",
"3"
] | 2 |
C
|
test
|
Date formats
|
eng_Latn
|
US legal document
|
244-1.0
| 244 |
1.0
|
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 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
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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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Annotation process
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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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