| | --- |
| | dataset_info: |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: id |
| | dtype: string |
| | - name: user_id |
| | dtype: float64 |
| | - name: date |
| | dtype: string |
| | - name: likes |
| | dtype: float64 |
| | - 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 |
| | - name: caption |
| | dtype: string |
| | - name: reactions |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 10804037551.84 |
| | num_examples: 235880 |
| | download_size: 8561366079 |
| | dataset_size: 10804037551.84 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | pretty_name: facebook_memes |
| | size_categories: |
| | - 100K<n<1M |
| | --- |
| | |
| | # Dataset Card for Facebook Image Dataset |
| |
|
| | ## Table of Contents |
| | - [Dataset Description](#dataset-description) |
| | - [Dataset Summary](#dataset-summary) |
| | - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
| | - [Languages](#languages) |
| | - [Dataset Structure](#dataset-structure) |
| | - [Data Instances](#data-instances) |
| | - [Data Fields](#data-fields) |
| | - [Data Splits](#data-splits) |
| |
|
| | ## Dataset Description |
| |
|
| | ### Dataset Summary |
| | This dataset contains images scraped from Facebook 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 Facebook posts. |
| |
|
| | ## Dataset Structure |
| |
|
| | ### Data Instances |
| | A data instance consists of an image and its metadata. For example: |
| | ```json |
| | { |
| | "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://facebook.com/example/status/12345", |
| | "img_link": "https://example.com/img.jpg", |
| | "ocr": "Here's a great moment captured", |
| | "captions": "A boy holding a balloon.", |
| | "reactions": ['Haha: 3 people', 'Love: 1 person'] |
| | "file_name": "12345.jpg" |
| | } |
| | ``` |
| | ### Data Fields |
| | - `id`: Unique identifier for each post. |
| | - `user_id`: Facebook 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 Facebook post. |
| | - `img_link`: URL to the image. |
| | - `ocr`: Text extracted from the image using OCR. |
| | - `captions`: An image description generated by [BLIP](https://github.com/salesforce/BLIP). |
| | - `reactions`: Reactions native to Facebook, given by users for the post. |
| | - `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. |
