README.md

metadata

annotations_creators:
  - found
language_creators:
  - found
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - n<1K
source_datasets:
  - original
task_categories:
  - text2text-generation
  - text-generation
  - fill-mask
  - text-retrieval
  - summarization
task_ids:
  - document-retrieval
  - entity-linking-retrieval
  - explanation-generation
  - language-modeling
  - masked-language-modeling
pretty_name: Cocktail Recipes
dataset_info:
  features:
    - name: title
      dtype: string
    - name: ingredients
      sequence: string
    - name: directions
      sequence: string
    - name: misc
      sequence: string
    - name: source
      dtype: string
    - name: ner
      sequence: string
  splits:
    - name: train
      num_bytes: 301501
      num_examples: 875
  download_size: 96915
  dataset_size: 301501

Dataset Card for Cocktail Recipes

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations

Dataset Description

Dataset Summary

Cocktail Recipes Dataset for Semi-Structured Text Generation.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The dataset is in English.

Dataset Structure

Data Instances

{"title": "Final Ward",
 "ingredients": ["0.75 oz. Rye Whiskey",
  "0.75 oz. Lemon Juice",
  "0.75 oz. Maraschino Liqueur",
  "0.75 oz. Green Chartreuse"],
 "directions": ["shake on ice and strain"],
 "misc":[],
 "source": "Death & Co.",
 "ner":["whiskey",
  "chartreuse",
  "maraschino liqueur"]}

Data Fields

• title (str): Title of the recipe.
• ingredients (list of str): Ingredients.
• directions (list of str): Instruction steps.
• source (str): Origin of each recipe
• ner (list of str): NER entities.

Data Splits

The dataset contains a single train split.

Dataset Creation

[More Information Needed]

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]