annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
Dataset Card for one-year-of-r-india
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://socialgrep.com/datasets
- Point of Contact: Website
Dataset Summary
This corpus contains the complete data for the activity of the subreddit /r/India from Sep 30, 2020 to Sep 30, 2021.
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]