--- language: - ar - pt - pl - en - de - es - he - ur - bn - it - fr - ru license: mit task_categories: - text-classification - question-answering - text-generation - fill-mask dataset_info: features: - name: URL dtype: string - name: Wiki dtype: string - name: Language dtype: string - name: Title dtype: string - name: Abstract dtype: string - name: Version Control dtype: string splits: - name: data num_bytes: 3849026435 num_examples: 6575217 - name: data1 num_bytes: 1339234317 num_examples: 2565263 - name: data2 num_bytes: 299141019 num_examples: 345314 - name: data3 num_bytes: 121110572 num_examples: 194533 - name: data4 num_bytes: 763143777 num_examples: 1474721 - name: data5 num_bytes: 4402642 num_examples: 4238 - name: data6 num_bytes: 921270984 num_examples: 1777137 - name: data7 num_bytes: 634758702 num_examples: 1080168 - name: data8 num_bytes: 1490198322 num_examples: 2501467 - name: data9 num_bytes: 1116300754 num_examples: 1890629 - name: data10 num_bytes: 568620663 num_examples: 1315710 - name: data11 num_bytes: 1555258518 num_examples: 1854603 - name: data12 num_bytes: 787383297 num_examples: 1197801 - name: data14 num_bytes: 3861239238 num_examples: 6082427 - name: data15 num_bytes: 1143640444 num_examples: 2522834 - name: data16 num_bytes: 244946 num_examples: 727 - name: data13 num_bytes: 243547600 num_examples: 153847 - name: data20 num_bytes: 6687940 num_examples: 10091 - name: data19 num_bytes: 716369386 num_examples: 1357324 - name: data21 num_bytes: 23896918 num_examples: 72440 - name: data22 num_bytes: 328910813 num_examples: 617682 - name: data23 num_bytes: 388154425 num_examples: 664194 - name: data18 num_bytes: 636558246 num_examples: 984255 - name: data24 num_bytes: 431490603 num_examples: 644539 - name: dat25 num_bytes: 284962592 num_examples: 557766 - name: data26 num_bytes: 70729945 num_examples: 50009 - name: data27 num_bytes: 11721912 num_examples: 7966 - name: data28 num_bytes: 755226 num_examples: 1306 - name: data29 num_bytes: 187125249 num_examples: 265229 - name: data30 num_bytes: 72693670 num_examples: 133813 - name: data31 num_bytes: 50671456 num_examples: 86109 - name: data32 num_bytes: 211757130 num_examples: 597333 - name: data17 num_bytes: 996821989 num_examples: 1266023 - name: data33 num_bytes: 142690196 num_examples: 285514 download_size: 11736180879 dataset_size: 23260519926 configs: - config_name: default data_files: - split: data path: data/data-* - split: data1 path: data/data1-* - split: data2 path: data/data2-* - split: data3 path: data/data3-* - split: data4 path: data/data4-* - split: data5 path: data/data5-* - split: data6 path: data/data6-* - split: data7 path: data/data7-* - split: data8 path: data/data8-* - split: data9 path: data/data9-* - split: data10 path: data/data10-* - split: data11 path: data/data11-* - split: data12 path: data/data12-* - split: data13 path: data/data13-* - split: data14 path: data/data14-* - split: data15 path: data/data15-* - split: data16 path: data/data16-* - split: data17 path: data/data17-* - split: data18 path: data/data18-* - split: data19 path: data/data19-* - split: data20 path: data/data20-* - split: data21 path: data/data21-* - split: data22 path: data/data22-* - split: data23 path: data/data23-* - split: data24 path: data/data24-* - split: dat25 path: data/dat25-* - split: data26 path: data/data26-* - split: data27 path: data/data27-* - split: data28 path: data/data28-* - split: data29 path: data/data29-* - split: data30 path: data/data30-* - split: data31 path: data/data31-* - split: data32 path: data/data32-* - split: data33 path: data/data33-* tags: - chemistry - finance - legal - biology - music - medical ---

Wikipedia X (Abstract)

Wikipedia X Logo

**Introducing Wikipedia X**, a comprehensive dataset encompassing abstracts, complete articles, and a popularity score index for both widely spoken and lesser-known Wikipedia subsets. Our dedication to Wikipedia-X ensures a centralized Wikipedia dataset that undergoes regular updates and adheres to the highest standards. A central focus of our efforts was to include exotic languages that often lack up-to-date Wikipedia dumps or may not have any dumps at all. Languages such as Hebrew, Urdu, Bengali, Aramaic, Uighur, and Polish were prioritized to ensure high-quality processed Wikipedia datasets are accessible for these languages with substantial speaker bases. This initiative aims to enable Artificial Intelligence to thrive across all languages, breaking down language barriers and fostering inclusivity. Notice: We're continuously updating this dataset every 8 months as part of a broader effort at LAION AI dedicated to textual embeddings. If you'd like to see a specific language added, please don't hesitate to reach out to us. #### Dataset Information: Indexed on (history): 19th of August 2024 **Sourcing:** Our dataset is sourced from the outstanding dumps of the Wikimedia project. It represents the content of Wikipedia pages of corresponding articles without any alterations. **Cleaning:** Some languages, like English and German, underwent cleaning while maintaining their Unicode representation. **Structure:** Our dataset includes the following columns: **Abstract:** Contains complete abstracts for each entry **Version Control:** Base64-encoded metadata of the official Wikipedia extraction code. **WE HAVE RELEASED WIKIPEDIA X (FULL) FOR ENTIRE TEXT OF ALL THE ARTICLES IN THE BELOW MENTIONED 17 LANGUAGES** [HF LINK](https://huggingface.co/datasets/laion/Wikipedia-X-Full) | Language | Code | |---------------|-------| | English | en | | German | de | | Polish | pl | | Spanish | es | | Hebrew | he | | French | fr | | Chinese | zh | | Italian | it | | Russian | ru | | Urdu | ur | | Portuguese | pt | | Aramaic | arc | | Cebuano | ceb | | Swedish | sv | | Uighur | ug | | Bengali | bn | | Arabic | ar |