--- 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: ```python 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](https://huggingface.co/datasets/derek-thomas/good-old-fashioned-pancakes-reviews/discussions) or PR on Hugging Face Datasets. Enjoy the dataset and happy cooking! 🥞🔥