metadata

license: mit
multilinguality:
  - multilingual
source_datasets:
  - original
task_categories:
  - text-classification
  - token-classification
  - question-answering
  - summarization
  - text-generation
task_ids:
  - sentiment-analysis
  - topic-classification
  - named-entity-recognition
  - language-modeling
  - text-scoring
  - multi-class-classification
  - multi-label-classification
  - extractive-qa
  - news-articles-summarization

Bittensor Subnet 13 Reddit Dataset

Data-universe: The finest collection of social media data the web has to offer

Dataset Description

Repository: littleGuagua/reddit_dataset_17
Subnet: Bittensor Subnet 13
Miner Hotkey: 5Fji3iTFxtscV2gfJBTZzK2GBJJDY9qwaE3k4t5WHX4pVkpC

Dataset Summary

This dataset is part of the Bittensor Subnet 13 decentralized network, containing preprocessed Reddit data. The data is continuously updated by network miners, providing a real-time stream of Reddit content for various analytical and machine learning tasks. For more information about the dataset, please visit the official repository.

Supported Tasks

The versatility of this dataset allows researchers and data scientists to explore various aspects of social media dynamics and develop innovative applications. Users are encouraged to leverage this data creatively for their specific research or business needs. For example:

Sentiment Analysis
Topic Modeling
Community Analysis
Content Categorization

Languages

Primary language: Datasets are mostly English, but can be multilingual due to decentralized ways of creation.

Dataset Structure

Data Instances

Each instance represents a single Reddit post or comment with the following fields:

Data Fields

text (string): The main content of the Reddit post or comment.
label (string): Sentiment or topic category of the content.
dataType (string): Indicates whether the entry is a post or a comment.
communityName (string): The name of the subreddit where the content was posted.
datetime (string): The date when the content was posted or commented.
username_encoded (string): An encoded version of the username to maintain user privacy.
url_encoded (string): An encoded version of any URLs included in the content.

Data Splits

This dataset is continuously updated and does not have fixed splits. Users should create their own splits based on their requirements and the data's timestamp.

Dataset Creation

Source Data

Data is collected from public posts and comments on Reddit, adhering to the platform's terms of service and API usage guidelines.

Personal and Sensitive Information

All usernames and URLs are encoded to protect user privacy. The dataset does not intentionally include personal or sensitive information.

Considerations for Using the Data

Social Impact and Biases

Users should be aware of potential biases inherent in Reddit data, including demographic and content biases. This dataset reflects the content and opinions expressed on Reddit and should not be considered a representative sample of the general population.

Limitations

Data quality may vary due to the nature of media sources.
The dataset may contain noise, spam, or irrelevant content typical of social media platforms.
Temporal biases may exist due to real-time collection methods.
The dataset is limited to public subreddits and does not include private or restricted communities.

Additional Information

Licensing Information

The dataset is released under the MIT license. The use of this dataset is also subject to Reddit Terms of Use.

Citation Information

If you use this dataset in your research, please cite it as follows:

@misc{littleGuagua2024datauniversereddit_dataset_17,
        title={The Data Universe Datasets: The finest collection of social media data the web has to offer},
        author={littleGuagua},
        year={2024},
        url={https://huggingface.co/datasets/littleGuagua/reddit_dataset_17},
        }

Contributions

To report issues or contribute to the dataset, please contact the miner or use the Bittensor Subnet 13 governance mechanisms.

Dataset Statistics

[This section is automatically updated]

Total Instances: 35450898
Date Range: 2024-11-05T00:00:00Z to 2024-11-09T00:00:00Z
Last Updated: 2024-11-09T16:21:44Z

Data Distribution

Posts: 6.50%
Comments: 93.50%

Top 10 Subreddits

For full statistics, please refer to the stats.json file in the repository.

Rank	Topic	Total Count	Average Percentage
1	r/politics	621195	2.49%
2	r/AskReddit	339048	0.99%
3	r/self	257702	0.39%
4	r/pics	226585	0.67%
5	r/GenZ	224410	0.36%
6	r/BoomersBeingFools	170744	0.37%
7	r/AITAH	140047	0.40%
8	r/neoliberal	117979	0.60%
9	r/teenagers	114356	0.31%
10	r/NoStupidQuestions	96645	0.25%

Update History

Date	New Instances	Total Instances
2024-11-06T03:26:18Z	1511340	1511340
2024-11-09T16:21:44Z	33939558	35450898