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---
annotations_creators:
- expert-generated
language:
- en
language_creators:
- found
license:
- mit
multilinguality:
- monolingual
pretty_name: Replit Comments Categorized
size_categories:
- n<1K
source_datasets:
- original
tags:
- replit
- comments
- forum
- chat
- intent
- classification
task_categories:
- text-classification
task_ids:
- intent-classification
---
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#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 Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
## Dataset Description
- **Homepage:** https://huggingface.co/datasets/RayhanADev/replit-comments-categorized
- **Repository:** https://huggingface.co/datasets/RayhanADev/replit-comments-categorized
- **Point of Contact:** [email protected]
### Dataset Summary
Comments from [Replit](https://replit.com/)'s Community, sourced via moderator GraphQL queries and personally labeled :). For use in Replit + Weights and Biases Hackathon.
### Supported Tasks and Leaderboards
Text Classification
### Languages
English
## Dataset Structure
### Data Instances
```json
{"label":3,"text":"@KENDALPETERSON\nShut up you dont have a permit to brag."}
```
Labels
- 0: General
- 1: Spam
- 2: NSFW
- 3: Harassment
### Data Fields
Label, Text
### Data Splits
Train, Validation, Test
## Dataset Creation
### Curation Rationale
Fine-tuning data for the Replit + Weights and Biases Hackathon.
### Source Data
#### Initial Data Collection and Normalization
This data was collected via Replit's GraphQL API using a query only available to site moderators and admins, allowing for querying comments by pattern. By not setting a
pattern one could get up to 50 comments within a given time span. Data was sourced from February 1st, 2023 to February 10th, 2023.
#### Who are the source language producers?
Replit Community users
### Annotations
#### Annotation process
I tagged the data using a small website that I made to assign labels to individual comments.
![](https://media.furret.dev/JKnDLTKMqF)
#### Who are the annotators?
Me ([@rayhanadev](https://www.furret.dev))
### Personal and Sensitive Information
This dataset is purely unfiltered and may contain personal and sensitive information.
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
The data is categorized according to three categories of content that are not allowed on Replit (and would fall into a fourth "general" category if it is acceptable
content).
### Other Known Limitations
The dataset is small (n<1k) but I am working on increasing the amount of available data. There is also significantly more unacceptable content labelled than there is
acceptable ("general") content.
## Additional Information
### Dataset Curators
Me ([@rayhanadev](https://www.furret.dev))
### Licensing Information
This data is licensed under MIT but Replit or any concerned parties is free to issue a takedown of this dataset. Any person who's data is available in this dataset is free
to request that their data is deleted, however it is not a breach of Replit's data use policy for this data to be available.