README.md

metadata

license: other
license_name: asw-open-data-doc
license_link: https://github.com/awslabs/open-data-docs/
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: id
      dtype: uint32
    - name: stars
      dtype: int64
    - name: review_body
      dtype: large_string
    - name: review_title
      dtype: large_string
    - name: language
      dtype: large_string
    - name: product_category
      dtype: large_string
    - name: lenght_review_body
      dtype: uint32
    - name: lenght_review_title
      dtype: uint32
    - name: lenght_product_category
      dtype: uint32
  splits:
    - name: train
      num_bytes: 53898131
      num_examples: 199500
    - name: validation
      num_bytes: 1407459
      num_examples: 5250
    - name: test
      num_bytes: 1408262
      num_examples: 5250
  download_size: 31841538
  dataset_size: 56713852
task_categories:
  - text-generation
  - summarization
  - fill-mask
language:
  - en
size_categories:
  - 100K<n<1M

Dataset Summary

The data file is intended for a tutorial: Summarization

Language

• English

Dataset Structure

• id: record id
• stars: An int between 1-5 indicating the number of stars.
• review_body: The text body of the review.
• review_title: The text title of the review.
• language: The string identifier of the review language.
• product_category: String representation of the product's category.
• lenght_review_body: text length of review_body
• lenght_review_title: text lenght of review_title
• lenght_product_category: text lenght of product_category

Split of data

• train: 95% (199500)
• validation: 2.5% (5250)
• test: 2.5% (5250)

Processing procedure

• Kaggle notebook
• GitHub

Licensing and other information

See the full kaggle dataset: edit_amazon_reviews_multi