Dataset Description

Dataset Summary

This dataset comprises images collected from Reddit, along with various metadata. The data are ideal for tasks that require analysis of online community interactions and content engagement, particularly in the context of image and text analysis.

Supported Tasks and Leaderboards

This dataset supports natural language processing and image analysis tasks, including sentiment analysis, trend analysis, and community engagement studies.

Languages

The text data are primarily in English.

Dataset Structure

Data Instances

An example data instance from the dataset might look like this:

{
  "id": "2020-02-02_001",
  "title_raw": "Look at this amazing sunset!",
  "score": 320,
  "num_comments": 45,
  "over18": false,
  "url": "https://reddit.com/r/examplepost",
  "date": "2023-07-04",
  "ocr_raw": "Amazing sunset at the beach",
  "all_text_stemmed": "amaz sunset beach",
  "all_text_processed": "Amazing sunset at the beach",
  "caption": "A beautiful sunset over the ocean",
  "file_name": "a1b2c3.jpg"
}

Data Fields

id: Unique identifier for each post.
title_raw: Original title of the Reddit post.
score: Number of upvotes subtracted from number of downvotes. Can be negative.
num_comments: Number of comments on the post.
over18: Boolean indicating if the content is for adults only.
url: URL to the original Reddit post.
date: Date the post was uploaded.
ocr_raw: Text extracted from the image using OCR.
all_text_stemmed: Stemmed version of the OCR text.
all_text_processed: Fully processed version of the OCR text.
caption: An image description generated by BLIP.
file_name: Name of the file stored locally.

Data Splits

This dataset does not contain predefined splits such as training, testing, or validation. Users are encouraged to define these splits based on their research needs and methodologies.