tokenization_robustness
Collection
28 items
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Updated
Datasets:
Dataset Viewer
question
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4
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int64 0
3
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stringclasses 2
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stringclasses 2
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如果你投资10,000元，年利率为5%，一年后你将有多少钱？
|
[
"10000",
"9500",
"100000",
"10500"
] | 3 |
D
|
dev
|
Numerical formats
|
zho_Hans
|
Thousand separator
|
31-2.0
| 31 |
2.0
|
||
3.1416乘以2等于多少？
|
[
"6.2831",
"6.2833",
"62.832",
"6.2832"
] | 3 |
D
|
test
|
Numerical formats
|
zho_Hans
|
Decimal separator
|
76-3.0
| 76 |
3.0
|
||
5000000000除以1000等于多少？
|
[
"5000000",
"50000000",
"500000",
"5000"
] | 0 |
A
|
dev
|
Scientific notation, Numerical formats
|
zho_Hans
|
26-3.0
| 26 |
3.0
|
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
Dataset Sources [optional]
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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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