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Uploading tokenizer_robustness_completion_english_word_reordering subset
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---
license: cc
multilinguality: multilingual
task_categories:
- multiple-choice
pretty_name: Tokenization Robustness
tags:
- multilingual
- tokenization
dataset_info:
- config_name: tokenizer_robustness_completion_english_abbreviations
features:
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dtype: string
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list: string
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dataset_size: 19544
- config_name: tokenizer_robustness_completion_english_canonical
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- config_name: tokenizer_robustness_completion_english_capitalization
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dtype: string
- name: set_id
dtype: string
- name: variation_id
dtype: string
- name: vanilla_cos_sim_to_canonical
struct:
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dtype: float64
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- name: bigscience/bloom
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- name: microsoft/Phi-3-mini-4k-instruct
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struct:
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- name: tiktoken/gpt-4o
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- name: tokenmonster/englishcode-32000-consistent-v1
dtype: float64
- name: token_counts
struct:
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dtype: int64
- name: Qwen/Qwen3-8B
dtype: int64
- name: bigscience/bloom
dtype: int64
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- name: facebook/xglm-564M
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- name: google-bert/bert-base-multilingual-cased
dtype: int64
- name: google/byt5-small
dtype: int64
- name: google/gemma-2-2b
dtype: int64
- name: gpt2
dtype: int64
- name: meta-llama/Llama-3.2-1B
dtype: int64
- name: microsoft/Phi-3-mini-4k-instruct
dtype: int64
- name: mistralai/tekken
dtype: int64
- name: tiktoken/gpt-4o
dtype: int64
- name: tokenmonster/englishcode-32000-consistent-v1
dtype: int64
splits:
- name: test
num_bytes: 18991
num_examples: 37
download_size: 38294
dataset_size: 18991
- config_name: tokenizer_robustness_completion_english_word_reordering
features:
- name: question
dtype: string
- name: choices
list: string
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dtype: int64
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- name: subcategories
dtype: string
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- name: id
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- name: set_id
dtype: string
- name: variation_id
dtype: string
- name: vanilla_cos_sim_to_canonical
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dtype: float64
- name: Qwen/Qwen3-8B
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- name: bigscience/bloom
dtype: float64
- name: common-pile/comma-v0.1-1t
dtype: float64
- name: facebook/xglm-564M
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dtype: float64
- name: google/byt5-small
dtype: float64
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dtype: float64
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- name: meta-llama/Llama-3.2-1B
dtype: float64
- name: microsoft/Phi-3-mini-4k-instruct
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dtype: float64
- name: tiktoken/gpt-4o
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- name: tokenmonster/englishcode-32000-consistent-v1
dtype: float64
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struct:
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dtype: float64
- name: Qwen/Qwen3-8B
dtype: float64
- name: bigscience/bloom
dtype: float64
- name: common-pile/comma-v0.1-1t
dtype: float64
- name: facebook/xglm-564M
dtype: float64
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dtype: float64
- name: google/byt5-small
dtype: float64
- name: google/gemma-2-2b
dtype: float64
- name: gpt2
dtype: float64
- name: meta-llama/Llama-3.2-1B
dtype: float64
- name: microsoft/Phi-3-mini-4k-instruct
dtype: float64
- name: mistralai/tekken
dtype: float64
- name: tiktoken/gpt-4o
dtype: float64
- name: tokenmonster/englishcode-32000-consistent-v1
dtype: float64
- name: token_counts
struct:
- name: CohereLabs/aya-expanse-8b
dtype: int64
- name: Qwen/Qwen3-8B
dtype: int64
- name: bigscience/bloom
dtype: int64
- name: common-pile/comma-v0.1-1t
dtype: int64
- name: facebook/xglm-564M
dtype: int64
- name: google-bert/bert-base-multilingual-cased
dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
- name: meta-llama/Llama-3.2-1B
dtype: int64
- name: microsoft/Phi-3-mini-4k-instruct
dtype: int64
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dtype: int64
- name: tiktoken/gpt-4o
dtype: int64
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dtype: int64
splits:
- name: test
num_bytes: 21498
num_examples: 40
download_size: 39384
dataset_size: 21498
configs:
- config_name: tokenizer_robustness_completion_english_abbreviations
data_files:
- split: test
path: tokenizer_robustness_completion_english_abbreviations/test-*
- config_name: tokenizer_robustness_completion_english_canonical
data_files:
- split: test
path: tokenizer_robustness_completion_english_canonical/test-*
- config_name: tokenizer_robustness_completion_english_capitalization
data_files:
- split: test
path: tokenizer_robustness_completion_english_capitalization/test-*
- config_name: tokenizer_robustness_completion_english_character_deletion
data_files:
- split: test
path: tokenizer_robustness_completion_english_character_deletion/test-*
- config_name: tokenizer_robustness_completion_english_character_substitution
data_files:
- split: test
path: tokenizer_robustness_completion_english_character_substitution/test-*
- config_name: tokenizer_robustness_completion_english_colloquial
data_files:
- split: test
path: tokenizer_robustness_completion_english_colloquial/test-*
- config_name: tokenizer_robustness_completion_english_compounds
data_files:
- split: test
path: tokenizer_robustness_completion_english_compounds/test-*
- config_name: tokenizer_robustness_completion_english_contractions
data_files:
- split: test
path: tokenizer_robustness_completion_english_contractions/test-*
- config_name: tokenizer_robustness_completion_english_date_formats
data_files:
- split: test
path: tokenizer_robustness_completion_english_date_formats/test-*
- config_name: tokenizer_robustness_completion_english_emoji_substitution
data_files:
- split: test
path: tokenizer_robustness_completion_english_emoji_substitution/test-*
- config_name: tokenizer_robustness_completion_english_grammatical_errors
data_files:
- split: test
path: tokenizer_robustness_completion_english_grammatical_errors/test-*
- config_name: tokenizer_robustness_completion_english_historical_spelling
data_files:
- split: test
path: tokenizer_robustness_completion_english_historical_spelling/test-*
- config_name: tokenizer_robustness_completion_english_homoglyphs
data_files:
- split: test
path: tokenizer_robustness_completion_english_homoglyphs/test-*
- config_name: tokenizer_robustness_completion_english_hyphenated_spelling
data_files:
- split: test
path: tokenizer_robustness_completion_english_hyphenated_spelling/test-*
- config_name: tokenizer_robustness_completion_english_inflections
data_files:
- split: test
path: tokenizer_robustness_completion_english_inflections/test-*
- config_name: tokenizer_robustness_completion_english_keyboard_proximity_errors
data_files:
- split: test
path: tokenizer_robustness_completion_english_keyboard_proximity_errors/test-*
- config_name: tokenizer_robustness_completion_english_letter_repetition_for_emphasis
data_files:
- split: test
path: tokenizer_robustness_completion_english_letter_repetition_for_emphasis/test-*
- config_name: tokenizer_robustness_completion_english_lowercase
data_files:
- split: test
path: tokenizer_robustness_completion_english_lowercase/test-*
- config_name: tokenizer_robustness_completion_english_macron_diacritic
data_files:
- split: test
path: tokenizer_robustness_completion_english_macron_diacritic/test-*
- config_name: tokenizer_robustness_completion_english_ocr_errors
data_files:
- split: test
path: tokenizer_robustness_completion_english_ocr_errors/test-*
- config_name: tokenizer_robustness_completion_english_orthographic_errors
data_files:
- split: test
path: tokenizer_robustness_completion_english_orthographic_errors/test-*
- config_name: tokenizer_robustness_completion_english_scripted_text
data_files:
- split: test
path: tokenizer_robustness_completion_english_scripted_text/test-*
- config_name: tokenizer_robustness_completion_english_similar_words
data_files:
- split: test
path: tokenizer_robustness_completion_english_similar_words/test-*
- config_name: tokenizer_robustness_completion_english_space_removal
data_files:
- split: test
path: tokenizer_robustness_completion_english_space_removal/test-*
- config_name: tokenizer_robustness_completion_english_spaced_styling
data_files:
- split: test
path: tokenizer_robustness_completion_english_spaced_styling/test-*
- config_name: tokenizer_robustness_completion_english_spelled_out
data_files:
- split: test
path: tokenizer_robustness_completion_english_spelled_out/test-*
- config_name: tokenizer_robustness_completion_english_superscript_subscript_styling
data_files:
- split: test
path: tokenizer_robustness_completion_english_superscript_subscript_styling/test-*
- config_name: tokenizer_robustness_completion_english_web_search_query
data_files:
- split: test
path: tokenizer_robustness_completion_english_web_search_query/test-*
- config_name: tokenizer_robustness_completion_english_word_reordering
data_files:
- split: test
path: tokenizer_robustness_completion_english_word_reordering/test-*
---
# Dataset Card for Tokenization Robustness
<!-- Provide a quick summary of the dataset. -->
A comprehensive evaluation dataset for testing robustness of different tokenization strategies.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
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]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
The dataset contains multiple-choice questions with associated metadata about tokenization types and categories.
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
The dataset focuses primarily on English text and may not generalize to other languages or tokenization schemes not covered in the evaluation.
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
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**APA:**
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## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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## More Information [optional]
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## Dataset Card Authors [optional]
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## Dataset Card Contact
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