README.md

metadata

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 the-reddit-nft-dataset

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Licensing Information

Dataset Description

• Homepage: https://socialgrep.com/datasets
• Point of Contact: Website

Dataset Summary

A comprehensive dataset of Reddit's NFT discussion.

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.

Additional Information

Licensing Information

CC-BY v4.0