The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets
library). If this is not possible, please
open a discussion
for direct help.
Dataset Card for the-reddit-covid-dataset
Disclaimer
Due to file size limitations, we are not able to provide the comments for this dataset. Please feel free to download them from the website - no registration required.
Dataset Summary
This corpus contains all the mentions of the term covid
in post titles on the social media platform Reddit, up until the 25th of October, 2021.
The data was procured from Reddit using SocialGrep.
Languages
Mainly English.
Dataset Structure
Data Instances
A data point is a post or a comment. Due to the separate nature of the two, those exist in two different files - even though many fields are shared.
Data Fields
'type': the type of the data point. Can be 'post' or 'comment'.
'id': the base-36 Reddit ID of the data point. Unique when combined with type.
'subreddit.id': the base-36 Reddit ID of the data point's host subreddit. Unique.
'subreddit.name': the human-readable name of the data point's host subreddit.
'subreddit.nsfw': a boolean marking the data point's host subreddit as NSFW or not.
'created_utc': a UTC timestamp for the data point.
'permalink': a reference link to the data point on Reddit.
'score': score of the data point on Reddit.
'domain': (Post only) the domain of the data point's link.
'url': (Post only) the destination of the data point's link, if any.
'selftext': (Post only) the self-text of the data point, if any.
'title': (Post only) the title of the post data point.
'body': (Comment only) the body of the comment data point.
'sentiment': (Comment only) the result of an in-house sentiment analysis pipeline. Used for exploratory analysis.
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
[Needs More Information]
Licensing Information
CC-BY v4.0
Contributions
[Needs More Information]
- Downloads last month
- 52