metadata
language:
- en
size_categories:
- 100K<n<1M
pretty_name: twitter_memes
dataset_info:
features:
- name: image
dtype: image
- name: id
dtype: string
- name: user_id
dtype: string
- name: date
dtype: string
- name: likes
dtype: int64
- name: shares
dtype: int64
- name: comments
dtype: int64
- name: post_text
dtype: string
- name: post_link
dtype: string
- name: img_link
dtype: string
- name: ocr
dtype: string
splits:
- name: train
num_bytes: 8879698359.938
num_examples: 174338
download_size: 11301489086
dataset_size: 8879698359.938
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Dataset Card for Twitter Image Dataset
Table of Contents
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.