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: tensorshield/reddit_dataset_157
Subnet: Bittensor Subnet 13
Miner Hotkey: 5Cw1eMv2sdpn9zfbvH2Mf8V5xaoRMj6NjVQLkYq61verzNbq

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{tensorshield2025datauniversereddit_dataset_157,
        title={The Data Universe Datasets: The finest collection of social media data the web has to offer},
        author={tensorshield},
        year={2025},
        url={https://huggingface.co/datasets/tensorshield/reddit_dataset_157},
        }

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: 85162
Date Range: 2025-03-24T00:00:00Z to 2025-03-24T00:00:00Z
Last Updated: 2025-03-31T02:41:14Z

Data Distribution

Posts: 12.15%
Comments: 87.85%

Top 10 Subreddits

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

Rank	Topic	Total Count	Percentage
1	r/AskReddit	2606	3.06%
2	r/CollegeBasketball	2355	2.77%
3	r/AITAH	1012	1.19%
4	r/mildlyinfuriating	685	0.80%
5	r/Advice	445	0.52%
6	r/MadeMeSmile	430	0.50%
7	r/nba	429	0.50%
8	r/facepalm	390	0.46%
9	r/RoastMe	385	0.45%
10	r/moviecritic	379	0.45%

Update History

Date	New Instances	Total Instances
2025-03-31T01:44:45Z	859	859
2025-03-31T01:45:28Z	1358	2217
2025-03-31T01:46:30Z	1300	3517
2025-03-31T01:47:15Z	1471	4988
2025-03-31T02:05:19Z	28610	33598
2025-03-31T02:06:17Z	1495	35093
2025-03-31T02:07:15Z	1361	36454
2025-03-31T02:08:16Z	1439	37893
2025-03-31T02:09:15Z	1426	39319
2025-03-31T02:10:16Z	1492	40811
2025-03-31T02:11:15Z	1356	42167
2025-03-31T02:12:17Z	1598	43765
2025-03-31T02:13:15Z	1445	45210
2025-03-31T02:14:15Z	1440	46650
2025-03-31T02:15:16Z	1435	48085
2025-03-31T02:17:16Z	2882	50967
2025-03-31T02:18:15Z	1384	52351
2025-03-31T02:19:19Z	1429	53780
2025-03-31T02:20:15Z	1449	55229
2025-03-31T02:21:17Z	1357	56586
2025-03-31T02:22:14Z	1385	57971
2025-03-31T02:23:14Z	1389	59360
2025-03-31T02:24:22Z	1430	60790
2025-03-31T02:25:14Z	1387	62177
2025-03-31T02:26:14Z	1439	63616
2025-03-31T02:27:16Z	1368	64984
2025-03-31T02:28:15Z	1543	66527
2025-03-31T02:29:17Z	1493	68020
2025-03-31T02:30:16Z	1428	69448
2025-03-31T02:31:14Z	1433	70881
2025-03-31T02:32:16Z	1426	72307
2025-03-31T02:33:14Z	1445	73752
2025-03-31T02:34:15Z	1485	75237
2025-03-31T02:35:15Z	1424	76661
2025-03-31T02:36:16Z	1469	78130
2025-03-31T02:37:14Z	1460	79590
2025-03-31T02:38:15Z	1415	81005
2025-03-31T02:39:18Z	1424	82429
2025-03-31T02:40:14Z	1301	83730
2025-03-31T02:41:14Z	1432	85162