| ---
|
| language:
|
| - en
|
| license: mit
|
| task_categories:
|
| - text-generation
|
| - question-answering
|
| tags:
|
| - reddit
|
| - education
|
| - ipmat
|
| - entrance-exam
|
| - india
|
| size_categories:
|
| - 1K<n<10K
|
| ---
|
|
|
| # r/IPMATtards Reddit Dataset
|
|
|
| ## Dataset Description
|
|
|
| This dataset contains scraped posts and comments from the **r/IPMATtards** subreddit, a community dedicated to aspirants of the **Integrated Programme in Management Aptitude Test (IPMAT)** in India.
|
|
|
| The data is structured into two main components:
|
| 1. **Posts**: Top-level submissions including titles, body text, scores, and metadata.
|
| 2. **Comments**: Threaded replies associated with the posts, including recursion depth and parent-child relationships.
|
|
|
| ## Dataset Structure
|
|
|
| The dataset is provided in **Parquet** format, optimized for the Hugging Face Hub.
|
|
|
| ### 1. Posts (`posts.parquet`)
|
|
|
| | Feature | Type | Description |
|
| |:--------|:-----|:------------|
|
| | `id` | string | Unique Reddit ID for the post (e.g., `t3_xyz`) |
|
| | `title` | string | Title of the post |
|
| | `author` | string | Reddit username of the author |
|
| | `body` | string | The main text content of the post |
|
| | `score` | int64 | Net upvotes (karma) at time of scraping |
|
| | `comments_count` | int64 | Number of comments on the post |
|
| | `created_utc` | string | Creation timestamp (UTC) |
|
| | `url` | string | Direct URL to the reddit post |
|
| | `crawled_at` | string | Timestamp when the data was scraped |
|
|
|
| ### 2. Comments (`comments.parquet`)
|
|
|
| | Feature | Type | Description |
|
| |:--------|:-----|:------------|
|
| | `id` | string | Unique Reddit ID for the comment (e.g., `t1_abc`) |
|
| | `post_id` | string | ID of the parent post (`t3_...`) |
|
| | `parent_id` | string | ID of the parent comment or post this replies to |
|
| | `author` | string | Reddit username of the author |
|
| | `body` | string | Text content of the comment |
|
| | `score` | int64 | Net upvotes |
|
| | `depth` | int64 | Nesting level (0 = top-level comment) |
|
| | `path` | string | Materialized path for reconstructing the tree |
|
| | `created_utc` | string | Creation timestamp (UTC) |
|
|
|
| ## Usage
|
|
|
| You can load this dataset directly using the `datasets` library:
|
|
|
| ```python
|
| from datasets import load_dataset
|
|
|
| # Load posts
|
| posts = load_dataset("parquet", data_files="parquet_export/posts.parquet", split="train")
|
|
|
| # Load comments
|
| comments = load_dataset("parquet", data_files="parquet_export/comments.parquet", split="train")
|
|
|
| print(posts[0])
|
| ```
|
|
|
| ## Collection
|
|
|
| This data was collected using a custom Python scraper utilizing `requests` and `BeautifulSoup`. It targets the old.reddit.com interface for efficiency.
|
|
|
| ## License
|
|
|
| This dataset is distributed under the MIT License. Please respect Reddit's API cleaning rules and user privacy when using this data.
|
|
|
