openaccess-ai-collective/jeopardy-bot
Text Generation
•
Updated
•
9
•
1
Dataset Viewer
View in Dataset Viewer
Viewer
The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets library). If this is not possible, please
open a discussion
for direct help.
Dataset Card for "jeopardy"
Dataset Summary
Dataset containing 216,930 Jeopardy questions, answers and other data.
The json file is an unordered list of questions where each question has 'category' : the question category, e.g. "HISTORY" 'value' : integer $ value of the question as string, e.g. "200" Note: This is "None" for Final Jeopardy! and Tiebreaker questions 'question' : text of question Note: This sometimes contains hyperlinks and other things messy text such as when there's a picture or video question 'answer' : text of answer 'round' : one of "Jeopardy!","Double Jeopardy!","Final Jeopardy!" or "Tiebreaker" Note: Tiebreaker questions do happen but they're very rare (like once every 20 years) 'show_number' : int of show number, e.g '4680' 'air_date' : string of the show air date in format YYYY-MM-DD
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 12.72 MB
- Size of the generated dataset: 36.13 MB
- Total amount of disk used: 48.85 MB
An example of 'train' looks as follows.
{
"air_date": "2004-12-31",
"answer": "Hattie McDaniel (for her role in Gone with the Wind)",
"category": "EPITAPHS & TRIBUTES",
"question": "'1939 Oscar winner: \"...you are a credit to your craft, your race and to your family\"'",
"round": "Jeopardy!",
"show_number": 4680,
"value": 2000
}
Data Fields
The data fields are the same among all splits.
default
category: astringfeature.air_date: astringfeature.question: astringfeature.value: aint32feature.answer: astringfeature.round: astringfeature.show_number: aint32feature.
Data Splits
| name | train |
|---|---|
| default | 216930 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
Contributions
Thanks to @thomwolf, @lewtun, @patrickvonplaten for adding this dataset.
- Downloads last month
- 19
