Datasets:

shubhxho
/

ipmattards

@@ -1,143 +1,82 @@
----
-# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
-# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
-{}
----
-# Dataset Card for Dataset Name
-<!-- Provide a quick summary of the dataset. -->
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
-## Dataset Details
-### Dataset Description
-<!-- Provide a longer summary of what this dataset is. -->
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-### Dataset Sources [optional]
-<!-- Provide the basic links for the dataset. -->
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-## Uses
-<!-- Address questions around how the dataset is intended to be used. -->
-### Direct Use
-<!-- This section describes suitable use cases for the dataset. -->
-[More Information Needed]
-### Out-of-Scope Use
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
-[More Information Needed]
-## Dataset Structure
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-[More Information Needed]
-## Dataset Creation
-### Curation Rationale
-<!-- Motivation for the creation of this dataset. -->
-[More Information Needed]
-### Source Data
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-#### Data Collection and Processing
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-[More Information Needed]
-#### Who are the source data producers?
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
-[More Information Needed]
-### Annotations [optional]
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-#### Annotation process
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
-[More Information Needed]
-#### Who are the annotators?
-<!-- This section describes the people or systems who created the annotations. -->
-[More Information Needed]
-#### Personal and Sensitive Information
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-[More Information Needed]
-## Bias, Risks, and Limitations
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-[More Information Needed]
-### Recommendations
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
-## Citation [optional]
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
-**BibTeX:**
-[More Information Needed]
-**APA:**
-[More Information Needed]
-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-[More Information Needed]
-## More Information [optional]
-[More Information Needed]
-## Dataset Card Authors [optional]
-[More Information Needed]
-## Dataset Card Contact
-[More Information Needed]

+---
+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.