metadata

language:
  - en
paperswithcode_id: wiki-40b
pretty_name: Wiki-40B
dataset_info:
  - config_name: ar
    features:
      - name: wikidata_id
        dtype: string
      - name: text
        dtype: string
      - name: version_id
        dtype: string
    splits:
      - name: train
        num_bytes: 773508885
        num_examples: 220885
      - name: validation
        num_bytes: 44102674
        num_examples: 12198
      - name: test
        num_bytes: 43755879
        num_examples: 12271
    download_size: 413683528
    dataset_size: 861367438
  - config_name: en
    features:
      - name: wikidata_id
        dtype: string
      - name: text
        dtype: string
      - name: version_id
        dtype: string
    splits:
      - name: train
        num_bytes: 9423468036
        num_examples: 2926536
      - name: validation
        num_bytes: 527374301
        num_examples: 163597
      - name: test
        num_bytes: 522210646
        num_examples: 162274
    download_size: 6183831905
    dataset_size: 10473052983
configs:
  - config_name: ar
    data_files:
      - split: train
        path: ar/train-*
      - split: validation
        path: ar/validation-*
      - split: test
        path: ar/test-*
  - config_name: en
    data_files:
      - split: train
        path: en/train-*
      - split: validation
        path: en/validation-*
      - split: test
        path: en/test-*

Dataset Card for "wiki40b"

Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

Dataset Description

Homepage: https://research.google/pubs/pub49029/
Repository: More Information Needed
Paper: More Information Needed
Point of Contact: More Information Needed
Size of downloaded dataset files: 0.00 MB
Size of the generated dataset: 10.47 GB
Total amount of disk used: 10.47 GB

Dataset Summary

Clean-up text for 40+ Wikipedia languages editions of pages correspond to entities. The datasets have train/dev/test splits per language. The dataset is cleaned up by page filtering to remove disambiguation pages, redirect pages, deleted pages, and non-entity pages. Each example contains the wikidata id of the entity, and the full Wikipedia article after page processing that removes non-content sections and structured objects.