HSDSLab/TwitterMemes

Dataset Card for Twitter Image Dataset

Table of Contents

• —Dataset Description
• —Dataset Summary
• —Supported Tasks and Leaderboards
• —Languages
• —Dataset Structure
• —Data Instances
• —Data Fields
• —Data Splits

Dataset Description

Dataset Summary

This dataset contains images scraped from Twitter along with associated metadata. The dataset is intended for research purposes, focusing on image analysis, natural language processing, and social media dynamics studies.

Supported Tasks and Leaderboards

The dataset can be used for tasks such as image recognition, sentiment analysis, text extraction from images (OCR), and social media trend analysis.

Languages

The text in the dataset is primarily in English, as extracted from Twitter posts.

Dataset Structure

Data Instances

A data instance consists of an image and its metadata. For example:

{
  "id": "12345",
  "user_id": "67890",
  "date": "2023-07-04",
  "likes": 150,
  "shares": 25,
  "comments": 40,
  "post_text": "Here's a great moment captured #fun",
  "post_link": "https://twitter.com/example/status/12345",
  "img_link": "https://example.com/img.jpg",
  "ocr": "Here's a great moment captured",
  "file_name": "12345.jpg"
}

Data Fields

• —id: Unique identifier for each post.
• —user_id: Twitter user ID of the post author.
• —date: Date the post was made.
• —likes: Number of likes the post received.
• —shares: Number of shares the post received.
• —comments: Number of comments on the post.
• —post_text: Text content of the post.
• —post_link: URL to the original Twitter post.
• —img_link: URL to the image.
• —ocr: Text extracted from the image using OCR.
• —file_name: Name of the file stored locally.

Data Splits

This dataset does not have predefined splits (train/test/validation). Users can create splits as needed for their specific tasks.