Update README.md

README.md

@@ -38,4 +38,69 @@ configs:
   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://twitter.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`: 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.
+- `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.