HSDSLab/TwitterMemes
Dataset Card for Twitter Image Dataset 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… See the full description on the dataset page: https://huggingface.co/datasets/HSDSLab/TwitterMemes.
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1---2language:3- en4size_categories:5- 100K<n<1M6pretty_name: twitter_memes7dataset_info:8 features:9 - name: image10 dtype: image11 - name: id12 dtype: string13 - name: user_id14 dtype: string15 - name: date16 dtype: string17 - name: likes18 dtype: int6419 - name: shares20 dtype: int6421 - name: comments22 dtype: int6423 - name: post_text24 dtype: string25 - name: post_link26 dtype: string27 - name: img_link28 dtype: string29 - name: ocr30 dtype: string31 splits:32 - name: train33 num_bytes: 8879698359.93834 num_examples: 17433835 download_size: 1130148908636 dataset_size: 8879698359.93837configs:38- config_name: default39 data_files:40 - split: train41 path: data/train-*42---43 44# Dataset Card for Twitter Image Dataset45 46## Table of Contents47- [Dataset Description](#dataset-description)48 - [Dataset Summary](#dataset-summary)49 - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)50 - [Languages](#languages)51- [Dataset Structure](#dataset-structure)52 - [Data Instances](#data-instances)53 - [Data Fields](#data-fields)54 - [Data Splits](#data-splits)55 56## Dataset Description57 58### Dataset Summary59This 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.60 61### Supported Tasks and Leaderboards62The dataset can be used for tasks such as image recognition, sentiment analysis, text extraction from images (OCR), and social media trend analysis.63 64### Languages65The text in the dataset is primarily in English, as extracted from Twitter posts.66 67## Dataset Structure68 69### Data Instances70A data instance consists of an image and its metadata. For example:71```json72{73 "id": "12345",74 "user_id": "67890",75 "date": "2023-07-04",76 "likes": 150,77 "shares": 25,78 "comments": 40,79 "post_text": "Here's a great moment captured #fun",80 "post_link": "https://twitter.com/example/status/12345",81 "img_link": "https://example.com/img.jpg",82 "ocr": "Here's a great moment captured",83 "file_name": "12345.jpg"84}85```86### Data Fields87- `id`: Unique identifier for each post.88- `user_id`: Twitter user ID of the post author.89- `date`: Date the post was made.90- `likes`: Number of likes the post received.91- `shares`: Number of shares the post received.92- `comments`: Number of comments on the post.93- `post_text`: Text content of the post.94- `post_link`: URL to the original Twitter post.95- `img_link`: URL to the image.96- `ocr`: Text extracted from the image using OCR.97- `file_name`: Name of the file stored locally.98 99### Data Splits100This dataset does not have predefined splits (train/test/validation). Users can create splits as needed for their specific tasks.101 102 