metadata
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:
- Posts: Top-level submissions including titles, body text, scores, and metadata.
- 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:
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.