metadata

dataset_info:
  features:
    - name: review_id
      dtype: string
    - name: username
      dtype: string
    - name: user_profile
      dtype: string
    - name: date
      dtype: string
    - name: rating
      dtype: int64
    - name: tags
      sequence: string
    - name: text
      dtype: string
    - name: helpful_votes
      dtype: int64
    - name: edited
      dtype: bool
    - name: photos
      sequence: string
  splits:
    - name: train
      num_bytes: 5556812
      num_examples: 14715
  download_size: 2282920
  dataset_size: 5556812
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Good Old-Fashioned Pancakes Reviews 🥞

This dataset contains user reviews of the Good Old-Fashioned Pancakes recipe from AllRecipes. It includes user ratings, comments, and additional metadata.

Dataset Details 📋

Name: Good Old-Fashioned Pancakes Reviews
Language: English 🇬🇧
Format: JSON structured as a Hugging Face dataset

Data Structure 📊

Each review entry contains the following fields:

Field	Type	Description
`review_id`	string	Unique identifier for each review
`username`	string	Username of the reviewer
`user_profile`	string	URL to the reviewer's profile
`date`	string	Date of the review (MM/DD/YYYY)
`rating`	int	Rating given by the user (1-5)
`tags`	list	Tags describing the review
`text`	string	Full review text
`helpful_votes`	int	Number of users who found the review helpful
`edited`	bool	Whether the review was edited
`photos`	list	URLs of photos uploaded with the review

Usage 🚀

To load the dataset using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("derek-thomas/good-old-fashioned-pancakes-reviews")
print(dataset)

Contribution 🤝

If you'd like to contribute or report issues, feel free to open a discussion or PR on Hugging Face Datasets.

Enjoy the dataset and happy cooking! 🥞🔥