
This is a dataset of 5,770 high quality tarot cards readings produced by ChatGPT based on 3 randomly drawn cards. It can be used to train smaller models for use in a tarot application.

The prompt used to produce these readings was:

> Give me a one paragraph tarot reading if I pull the cards CARD1, CARD2 and CARD3.\n\nReading:\n

The CSV dataset contains the following columns: *Card 1*, *Card 2*, *Card 3*, *Reading*

There are also 2 Python scripts included:

* make_dataset.py: This file was used to create the dataset using the ChatGPT API.
* train_dataset.py: This file can be used as an example on how to train a base model using the dataset.
task_categories:question-answering task_categories:text-generation language:en license:mit ChatGPT Tarot region:us
{"language": ["en"], "license": "mit", "task_categories": ["question-answering", "text-generation"], "pretty_name": "Tarot cards readings", "tags": ["ChatGPT", "Tarot"]}
TAGS
#task_categories-question-answering #task_categories-text-generation #language-English #license-mit #ChatGPT #Tarot #region-us 


This is a dataset of 5,770 high quality tarot cards readings produced by ChatGPT based on 3 randomly drawn cards. It can be used to train smaller models for use in a tarot application.

The prompt used to produce these readings was:

> Give me a one paragraph tarot reading if I pull the cards CARD1, CARD2 and CARD3.\n\nReading:\n

The CSV dataset contains the following columns: *Card 1*, *Card 2*, *Card 3*, *Reading*

There are also 2 Python scripts included:

* make_dataset.py: This file was used to create the dataset using the ChatGPT API.
* train_dataset.py: This file can be used as an example on how to train a base model using the dataset.
TAGS
#task_categories-question-answering #task_categories-text-generation #language-English #license-mit #ChatGPT #Tarot #region-us 

passage: TAGS
#task_categories-question-answering #task_categories-text-generation #language-English #license-mit #ChatGPT #Tarot #region-us 
