tensorshield/reddit_dataset_237

Bittensor Subnet 13 Reddit Dataset

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_237,
        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_237},
        }

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: 120160
• Date Range: 2025-03-24T00:00:00Z to 2025-03-24T00:00:00Z
• Last Updated: 2025-03-31T02:47:14Z

Data Distribution

• Posts: 12.05%
• Comments: 87.95%

Top 10 Subreddits

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

Rank	Topic	Total Count	Percentage
1	r/AskReddit	3646	3.03%
2	r/CollegeBasketball	3501	2.91%
3	r/AITAH	1485	1.24%
4	r/mildlyinfuriating	959	0.80%
5	r/nba	641	0.53%
6	r/MadeMeSmile	623	0.52%
7	r/Advice	605	0.50%
8	r/tennis	573	0.48%
9	r/politics	545	0.45%
10	r/LAClippers	534	0.44%

Update History

Date	New Instances	Total Instances
2025-03-31T01:27:22Z	1449	1449
2025-03-31T01:28:11Z	1423	2872
2025-03-31T01:29:11Z	1502	4374
2025-03-31T01:30:14Z	1537	5911
2025-03-31T01:31:12Z	1530	7441
2025-03-31T01:32:12Z	1514	8955
2025-03-31T01:33:11Z	1470	10425
2025-03-31T01:34:12Z	1409	11834
2025-03-31T01:35:13Z	1528	13362
2025-03-31T01:36:16Z	1603	14965
2025-03-31T01:37:17Z	1510	16475
2025-03-31T01:38:16Z	1488	17963
2025-03-31T01:39:14Z	1413	19376
2025-03-31T01:40:14Z	1529	20905
2025-03-31T01:41:14Z	1546	22451
2025-03-31T01:42:16Z	1535	23986
2025-03-31T01:44:01Z	2641	26627
2025-03-31T01:44:36Z	878	27505
2025-03-31T01:45:14Z	958	28463
2025-03-31T01:46:30Z	1728	30191
2025-03-31T01:47:14Z	1397	31588
2025-03-31T02:04:21Z	27159	58747
2025-03-31T02:06:18Z	2899	61646
2025-03-31T02:07:15Z	1361	63007
2025-03-31T02:08:17Z	1439	64446
2025-03-31T02:09:15Z	1426	65872
2025-03-31T02:10:16Z	1492	67364
2025-03-31T02:11:14Z	1356	68720
2025-03-31T02:12:15Z	1544	70264
2025-03-31T02:13:14Z	1499	71763
2025-03-31T02:14:19Z	1528	73291
2025-03-31T02:15:16Z	1369	74660
2025-03-31T02:17:15Z	2860	77520
2025-03-31T02:18:14Z	1384	78904
2025-03-31T02:19:14Z	1429	80333
2025-03-31T02:20:15Z	1449	81782
2025-03-31T02:21:19Z	1357	83139
2025-03-31T02:22:14Z	1385	84524
2025-03-31T02:23:13Z	1389	85913
2025-03-31T02:24:21Z	1430	87343
2025-03-31T02:25:16Z	1387	88730
2025-03-31T02:26:14Z	1439	90169
2025-03-31T02:27:21Z	1368	91537
2025-03-31T02:28:15Z	1543	93080
2025-03-31T02:29:17Z	1493	94573
2025-03-31T02:30:17Z	1428	96001
2025-03-31T02:31:15Z	1433	97434
2025-03-31T02:32:15Z	1426	98860
2025-03-31T02:33:15Z	1488	100348
2025-03-31T02:34:15Z	1442	101790
2025-03-31T02:35:14Z	1424	103214
2025-03-31T02:36:15Z	1469	104683
2025-03-31T02:37:18Z	1414	106097
2025-03-31T02:38:15Z	1461	107558
2025-03-31T02:39:16Z	1404	108962
2025-03-31T02:40:14Z	1298	110260
2025-03-31T02:41:14Z	1455	111715
2025-03-31T02:42:15Z	1412	113127
2025-03-31T02:43:14Z	1399	114526
2025-03-31T02:44:14Z	1450	115976
2025-03-31T02:45:15Z	1372	117348
2025-03-31T02:46:14Z	1393	118741
2025-03-31T02:47:14Z	1419	120160