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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: chris241/reddit_dataset_219
  • Subnet: Bittensor Subnet 13
  • Miner Hotkey: 5DEynUtF6uUDYvUzCJJD4CKfJXLxxKG9FFdxibpLzXAtw1HN

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{chris2412024datauniversereddit_dataset_219,
        title={The Data Universe Datasets: The finest collection of social media data the web has to offer},
        author={chris241},
        year={2024},
        url={https://huggingface.co/datasets/chris241/reddit_dataset_219},
        }

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: 102572106
  • Date Range: 2024-09-17 to 2024-10-17
  • Last Updated: 2024-10-17

Data Distribution

  • Posts: 7.93%
  • Comments: 92.07%

Top 10 Subreddits

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

Rank Item Percentage
1 r/AskReddit 3.40%
2 r/AITAH 3.05%
3 r/teenagers 2.95%
4 r/NoStupidQuestions 2.74%
5 r/JerkOffChat 2.58%
6 r/GOONED 2.56%
7 r/politics 2.09%
8 r/Monopoly_GO 2.09%
9 r/pics 2.07%
10 r/mildlyinfuriating 2.04%

Update History

Date New Instances Total Instances
2024-10-17 1038228 1038228
2024-10-16 1004983 2043211
2024-10-16 1681897 3725108
2024-10-15 1608832 5333940
2024-10-14 1325911 6659851
2024-10-13 894631 7554482
2024-10-12 620185 8174667
2024-10-12 1327000 9501667
2024-10-11 996698 10498365
2024-10-10 1116472 11614837
2024-10-10 1463796 13078633
2024-10-09 1321935 14400568
2024-10-08 820851 15221419
2024-10-07 1398288 16619707
2024-10-07 1630302 18250009
2024-10-06 1589118 19839127
2024-10-05 1195380 21034507
2024-10-04 906978 21941485
2024-10-03 1293328 23234813
2024-10-03 1491340 24726153
2024-10-02 1008833 25734986
2024-10-01 1011897 26746883
2024-10-01 1209188 27956071
2024-09-30 1166112 29122183
2024-09-29 833849 29956032
2024-09-29 1043557 30999589
2024-09-28 1100084 32099673
2024-09-27 943861 33043534
2024-09-26 1156861 34200395
2024-09-26 1389969 35590364
2024-09-25 1035392 36625756
2024-09-24 1202288 37828044
2024-09-23 8109815 45937859
2024-09-21 17049878 62987737
2024-09-24 3645589 66633326
2024-09-25 1441201 68074527
2024-09-25 1267443 69341970
2024-09-26 920383 70262353
2024-09-27 1413515 71675868
2024-09-28 1361454 73037322
2024-09-28 848269 73885591
2024-09-29 1065447 74951038
2024-09-30 1021323 75972361
2024-09-30 903835 76876196
2024-10-01 1212989 78089185
2024-10-02 1397175 79486360
2024-10-02 1370303 80856663
2024-10-03 355063 81211726
2024-10-04 1426445 82638171
2024-10-05 1222426 83860597
2024-10-05 1081216 84941813
2024-10-06 1140533 86082346
2024-10-07 1082363 87164709
2024-10-08 1308722 88473431
2024-10-08 1087198 89560629
2024-10-09 916743 90477372
2024-10-10 1121295 91598667
2024-10-11 1515177 93113844
2024-10-12 1162216 94276060
2024-10-12 877522 95153582
2024-10-13 1266825 96420407
2024-10-14 1100841 97521248
2024-10-14 1361925 98883173
2024-10-15 1079992 99963165
2024-10-16 922734 100885899
2024-10-17 1686207 102572106