scotus_tweets_examples

This dataset contains 12 example tweets referencing the Supreme Court
along with a sentiment label. These can be used as few-shot prompt
examples for classifying tweets in the <code>scotus_tweets</code> dataset.

datasets

Format and submit few-shot prompts to OpenAI's Large Language Models (LLMs). Designed to be particularly useful for text classification problems in the social sciences. Methods are described in Ornstein, Blasingame, and Truscott (2024) <https://joeornstein.github.io/publications/ornstein-blasingame-truscott.pdf>.

Joe Ornstein

promptr

Format and Complete Few-Shot LLM Prompts

scotus_tweets_examples function

A data frame with 12 rows and 4 columns:<dl>
<dt>tweet_id</dt>
<dd>A unique ID for each tweet</dd><dt>text</dt>
<dd>The text of the tweet</dd><dt>case</dt>
<dd>The case referenced in the tweet (Masterpiece Cakeshop or Trump v. Mazars)</dd><dt>label</dt>
<dd>The "true" label (Positive, Negative, or Neutral)</dd>
</dl>

Format

Labelled Example Tweets About The Supreme Court of the United States — scotus_tweets_examples

A data frame with 12 rows and 4 columns:<dl>
<dt>tweet_id</dt>
<dd>A unique ID for each tweet</dd>

<dt>text</dt>
<dd>The text of the tweet</dd>

<dt>case</dt>
<dd>The case referenced in the tweet (Masterpiece Cakeshop or Trump v. Mazars)</dd>

<dt>label</dt>
<dd>The "true" label (Positive, Negative, or Neutral)</dd>


</dl>

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scotus_tweets_examples: Labelled Example Tweets About The Supreme Court of the United States

Description

Usage

Arguments

Format

References