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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.

sourceHugging Faceupdated 2y agoView on Hugging Face
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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