Hugging Face's logo

Datasets:
tensorshield
/
reddit_dataset_85

Tasks:
Text Classification
Token Classification
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-analysis
topic-classification
named-entity-recognition
Size:
10M - 100M
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files Community
reddit_dataset_85 / README.md
immortalizzy's picture
immortalizzy
Update README.md with latest statistics
ef96432 verified
preview code
|
raw
history blame
7.23 kB
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
Data-universe: The finest collection of social media data the web has to offer

Dataset Description

  • Repository: tensorshield/reddit_dataset_85
  • Subnet: Bittensor Subnet 13
  • Miner Hotkey: 5FvjTc3UHpdft9Jusu1hbj87czkqHXTrkLvkBakcWLjZKv1X

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_85,
        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_85},
        }

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: 32852838
  • Date Range: 2009-11-16T00:00:00Z to 2025-03-23T00:00:00Z
  • Last Updated: 2025-03-30T03:25:30Z

Data Distribution

  • Posts: 11.70%
  • Comments: 88.30%

Top 10 Subreddits

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

Rank Topic Total Count Percentage
1 r/AskReddit 677305 2.06%
2 r/AITAH 336448 1.02%
3 r/wallstreetbets 219947 0.67%
4 r/politics 217882 0.66%
5 r/mildlyinfuriating 196017 0.60%
6 r/CollegeBasketball 181744 0.55%
7 r/announcements 162133 0.49%
8 r/pics 149589 0.46%
9 r/moviecritic 132504 0.40%
10 r/NoStupidQuestions 130461 0.40%

Update History

Date New Instances Total Instances
2025-03-30T00:21:37Z 785992 785992
2025-03-30T00:24:35Z 697780 1483772
2025-03-30T00:28:04Z 728587 2212359
2025-03-30T00:34:11Z 956976 3169335
2025-03-30T00:38:46Z 968788 4138123
2025-03-30T00:43:21Z 972204 5110327
2025-03-30T00:48:51Z 971985 6082312
2025-03-30T00:53:22Z 973871 7056183
2025-03-30T00:58:59Z 970004 8026187
2025-03-30T01:04:04Z 973998 9000185
2025-03-30T01:08:24Z 972827 9973012
2025-03-30T01:13:35Z 974875 10947887
2025-03-30T01:18:52Z 972457 11920344
2025-03-30T01:24:01Z 974995 12895339
2025-03-30T01:28:08Z 971856 13867195
2025-03-30T01:33:10Z 974458 14841653
2025-03-30T01:38:13Z 971764 15813417
2025-03-30T01:48:42Z 973490 16786907
2025-03-30T01:53:02Z 969298 17756205
2025-03-30T01:57:47Z 969596 18725801
2025-03-30T02:03:37Z 968029 19693830
2025-03-30T02:08:29Z 971757 20665587
2025-03-30T02:13:30Z 970055 21635642
2025-03-30T02:18:20Z 970272 22605914
2025-03-30T02:23:16Z 971210 23577124
2025-03-30T02:28:25Z 971071 24548195
2025-03-30T02:33:36Z 971827 25520022
2025-03-30T02:38:21Z 968465 26488487
2025-03-30T02:43:31Z 972526 27461013
2025-03-30T02:48:38Z 970783 28431796
2025-03-30T02:53:17Z 973536 29405332
2025-03-30T02:58:12Z 972265 30377597
2025-03-30T03:03:36Z 974153 31351750
2025-03-30T03:08:41Z 972480 32324230
2025-03-30T03:12:08Z 509597 32833827
2025-03-30T03:15:32Z 6343 32840170
2025-03-30T03:20:23Z 6388 32846558
2025-03-30T03:25:30Z 6280 32852838