gsaltintas/code_technical_content
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… See the full description on the dataset page: https://huggingface.co/datasets/gsaltintas/code_technical_content.
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1---2license: cc3multilinguality: multilingual4task_categories:5- multiple-choice6pretty_name: Tokenization Robustness7tags:8- multilingual9- tokenization10dataset_info:11- config_name: code_technical_content_buggy_code12 features:13 - name: question14 dtype: string15 - name: choices16 sequence: string17 - name: answer18 dtype: int6419 - name: answer_label20 dtype: string21 - name: split22 dtype: string23 - name: subcategories24 dtype: string25 - name: lang26 dtype: string27 - name: second_lang28 dtype: string29 - name: coding_lang30 dtype: string31 - name: notes32 dtype: string33 - name: id34 dtype: string35 - name: set_id36 dtype: float6437 - name: variation_id38 dtype: string39 splits:40 - name: test41 num_bytes: 763342 num_examples: 2143 download_size: 841044 dataset_size: 763345- config_name: code_technical_content_cannonical46 features:47 - name: question48 dtype: string49 - name: choices50 sequence: string51 - name: answer52 dtype: int6453 - name: answer_label54 dtype: string55 - name: split56 dtype: string57 - name: subcategories58 dtype: string59 - name: lang60 dtype: string61 - name: second_lang62 dtype: string63 - name: coding_lang64 dtype: string65 - name: notes66 dtype: string67 - name: id68 dtype: string69 - name: set_id70 dtype: float6471 - name: variation_id72 dtype: string73 splits:74 - name: test75 num_bytes: 163276 num_examples: 577 download_size: 696178 dataset_size: 163279- config_name: code_technical_content_comments_across_languages80 features:81 - name: question82 dtype: string83 - name: choices84 sequence: string85 - name: answer86 dtype: int6487 - name: answer_label88 dtype: string89 - name: split90 dtype: string91 - name: subcategories92 dtype: string93 - name: lang94 dtype: string95 - name: second_lang96 dtype: string97 - name: coding_lang98 dtype: string99 - name: notes100 dtype: string101 - name: id102 dtype: string103 - name: set_id104 dtype: float64105 - name: variation_id106 dtype: string107 splits:108 - name: test109 num_bytes: 6024110 num_examples: 15111 download_size: 7966112 dataset_size: 6024113- config_name: code_technical_content_string_literals114 features:115 - name: question116 dtype: string117 - name: choices118 sequence: string119 - name: answer120 dtype: int64121 - name: answer_label122 dtype: string123 - name: split124 dtype: string125 - name: subcategories126 dtype: string127 - name: lang128 dtype: string129 - name: second_lang130 dtype: string131 - name: coding_lang132 dtype: string133 - name: notes134 dtype: string135 - name: id136 dtype: string137 - name: set_id138 dtype: float64139 - name: variation_id140 dtype: string141 splits:142 - name: test143 num_bytes: 3557144 num_examples: 10145 download_size: 6997146 dataset_size: 3557147- config_name: code_technical_content_syntax_and_punctuation_variations148 features:149 - name: question150 dtype: string151 - name: choices152 sequence: string153 - name: answer154 dtype: int64155 - name: answer_label156 dtype: string157 - name: split158 dtype: string159 - name: subcategories160 dtype: string161 - name: lang162 dtype: string163 - name: second_lang164 dtype: string165 - name: coding_lang166 dtype: string167 - name: notes168 dtype: string169 - name: id170 dtype: string171 - name: set_id172 dtype: float64173 - name: variation_id174 dtype: string175 splits:176 - name: test177 num_bytes: 5475178 num_examples: 16179 download_size: 7298180 dataset_size: 5475181- config_name: code_technical_content_variable_naming_conventions182 features:183 - name: question184 dtype: string185 - name: choices186 sequence: string187 - name: answer188 dtype: int64189 - name: answer_label190 dtype: string191 - name: split192 dtype: string193 - name: subcategories194 dtype: string195 - name: lang196 dtype: string197 - name: second_lang198 dtype: string199 - name: coding_lang200 dtype: string201 - name: notes202 dtype: string203 - name: id204 dtype: string205 - name: set_id206 dtype: float64207 - name: variation_id208 dtype: string209 splits:210 - name: test211 num_bytes: 5087212 num_examples: 12213 download_size: 7702214 dataset_size: 5087215- config_name: code_technical_content_whitespace_variations216 features:217 - name: question218 dtype: string219 - name: choices220 sequence: string221 - name: answer222 dtype: int64223 - name: answer_label224 dtype: string225 - name: split226 dtype: string227 - name: subcategories228 dtype: string229 - name: lang230 dtype: string231 - name: second_lang232 dtype: string233 - name: coding_lang234 dtype: string235 - name: notes236 dtype: string237 - name: id238 dtype: string239 - name: set_id240 dtype: float64241 - name: variation_id242 dtype: string243 splits:244 - name: test245 num_bytes: 5053246 num_examples: 15247 download_size: 7544248 dataset_size: 5053249configs:250- config_name: code_technical_content_buggy_code251 data_files:252 - split: test253 path: code_technical_content_buggy_code/test-*254- config_name: code_technical_content_cannonical255 data_files:256 - split: test257 path: code_technical_content_cannonical/test-*258- config_name: code_technical_content_comments_across_languages259 data_files:260 - split: test261 path: code_technical_content_comments_across_languages/test-*262- config_name: code_technical_content_string_literals263 data_files:264 - split: test265 path: code_technical_content_string_literals/test-*266- config_name: code_technical_content_syntax_and_punctuation_variations267 data_files:268 - split: test269 path: code_technical_content_syntax_and_punctuation_variations/test-*270- config_name: code_technical_content_variable_naming_conventions271 data_files:272 - split: test273 path: code_technical_content_variable_naming_conventions/test-*274- config_name: code_technical_content_whitespace_variations275 data_files:276 - split: test277 path: code_technical_content_whitespace_variations/test-*278---279 280# Dataset Card for Tokenization Robustness281 282<!-- Provide a quick summary of the dataset. -->283 284A comprehensive evaluation dataset for testing robustness of different tokenization strategies.285 286## Dataset Details287 288### Dataset Description289 290<!-- Provide a longer summary of what this dataset is. -->291 292This 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.293 294- **Curated by:** R3295- **Funded by [optional]:** [More Information Needed]296- **Shared by [optional]:** [More Information Needed]297- **Language(s) (NLP):** [More Information Needed]298- **License:** cc299 300### Dataset Sources [optional]301 302<!-- Provide the basic links for the dataset. -->303 304- **Repository:** [More Information Needed]305- **Paper [optional]:** [More Information Needed]306- **Demo [optional]:** [More Information Needed]307 308## Uses309 310<!-- Address questions around how the dataset is intended to be used. -->311 312### Direct Use313 314<!-- This section describes suitable use cases for the dataset. -->315 316[More Information Needed]317 318### Out-of-Scope Use319 320<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->321 322[More Information Needed]323 324## Dataset Structure325 326<!-- 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. -->327 328The dataset contains multiple-choice questions with associated metadata about tokenization types and categories.329 330## Dataset Creation331 332### Curation Rationale333 334<!-- Motivation for the creation of this dataset. -->335 336[More Information Needed]337 338### Source Data339 340<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->341 342#### Data Collection and Processing343 344<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->345 346[More Information Needed]347 348#### Who are the source data producers?349 350<!-- 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. -->351 352[More Information Needed]353 354### Annotations [optional]355 356<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->357 358#### Annotation process359 360<!-- 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. -->361 362[More Information Needed]363 364#### Who are the annotators?365 366<!-- This section describes the people or systems who created the annotations. -->367 368[More Information Needed]369 370#### Personal and Sensitive Information371 372<!-- 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. -->373 374[More Information Needed]375 376## Bias, Risks, and Limitations377 378<!-- This section is meant to convey both technical and sociotechnical limitations. -->379 380The dataset focuses primarily on English text and may not generalize to other languages or tokenization schemes not covered in the evaluation.381 382### Recommendations383 384<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->385 386Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.387 388## Citation [optional]389 390<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->391 392**BibTeX:**393 394[More Information Needed]395 396**APA:**397 398[More Information Needed]399 400## Glossary [optional]401 402<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->403 404[More Information Needed]405 406## More Information [optional]407 408[More Information Needed]409 410## Dataset Card Authors [optional]411 412[More Information Needed]413 414## Dataset Card Contact415 416[More Information Needed]