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N.A.S.A hangi ülkenin uzay ajansıdır?
[ "Amerika Birleşik Devletleri", "Rusya", "Çin", "Japonya" ]
0
A
test
Abbreviations (with periods)
tur_Latn
275-2.1
275
2.1
Nasa hangi ülkenin uzay ajansıdır?
[ "Amerika Birleşik Devletleri", "Rusya", "Çin", "Japonya" ]
0
A
test
Abbreviations (with periods)
tur_Latn
275-2.2
275
2.2
Which country's space agency is N.A.S.A?
[ "United States", "Russia", "China", "Japan" ]
0
A
test
Abbreviations (with periods)
eng_Latn
275-1.1
275
1.1
Which country's space agency is Nasa?
[ "Russia", "United States", "China", "Japan" ]
1
B
test
Abbreviations (with periods)
eng_Latn
275-1.2
275
1.2
ن.ا.س.ا آژانس فضایی کدام کشور است؟
[ "روسیه", "ایالات متحده آمریکا", "چین", "ژاپن" ]
1
B
test
Abbreviations (with periods)
pes_Arab
275-3.1
275
3.1
ناسآ آژانس فضایی کدام کشور است؟
[ "روسیه", "ایالات متحده آمریکا", "چین", "ژاپن" ]
1
B
test
Abbreviations (with periods)
pes_Arab
275-3.2
275
3.2
Di quale paese è l'agenzia spaziale N.A.S.A?
[ "Russia", "Cina", "Giappone", "Stati Uniti" ]
3
D
test
Abbreviations (with periods)
ita_Latn
275-4.1
275
4.1
Di quale paese è l'agenzia spaziale Nasa?
[ "Stati Uniti", "Russia", "Cina", "Giappone" ]
0
A
test
Abbreviations (with periods)
ita_Latn
275-4.2
275
4.2
N.A.S.A是哪个国家的航天局?
[ "俄罗斯", "美国", "中国", "日本" ]
1
B
test
Abbreviations (with periods)
zho_Hans
275-5.1
275
5.1
Nasa是哪个国家的航天局?
[ "俄罗斯", "中国", "日本", "美国" ]
3
D
test
Abbreviations (with periods)
zho_Hans
275-5.2
275
5.2

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
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  • License: cc

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Dataset Structure

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

Dataset Creation

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Source Data

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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.

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