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Datasets:
futuremoon
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x_dataset_39

Tasks:
Text Classification
Token Classification
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-analysis
topic-classification
named-entity-recognition
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1B - 10B
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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 X (Twitter) 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: futuremoon/x_dataset_39
  • Subnet: Bittensor Subnet 13
  • Miner Hotkey: 5D2E6ECuZmgc4T93prfTs44nHqWgkXGcQQJPknXWLWEAbCK6

Dataset Summary

This dataset is part of the Bittensor Subnet 13 decentralized network, containing preprocessed data from X (formerly Twitter). The data is continuously updated by network miners, providing a real-time stream of tweets 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
  • Trend Detection
  • Content Analysis
  • User Behavior Modeling

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 tweet with the following fields:

Data Fields

  • text (string): The main content of the tweet.
  • label (string): Sentiment or topic category of the tweet.
  • tweet_hashtags (list): A list of hashtags used in the tweet. May be empty if no hashtags are present.
  • datetime (string): The date when the tweet was posted.
  • 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 tweet. May be empty if no URLs are present.

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 tweets on X (Twitter), 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 X (Twitter) data, including demographic and content biases. This dataset reflects the content and opinions expressed on X and should not be considered a representative sample of the general population.

Limitations

  • Data quality may vary due to the decentralized nature of collection and preprocessing.
  • 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 tweets and does not include private accounts or direct messages.
  • Not all tweets contain hashtags or URLs.

Additional Information

Licensing Information

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

Citation Information

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

@misc{futuremoon2025datauniversex_dataset_39,
    title={The Data Universe Datasets: The finest collection of social media data the web has to offer},
    author={futuremoon},
    year={2025},
    url={https://huggingface.co/datasets/futuremoon/x_dataset_39},
}

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: 109871656
  • Date Range: 2025-06-23T09:32:23Z to 2025-06-29T07:04:54Z
  • Last Updated: 2025-06-29T09:35:09Z

Data Distribution

  • Tweets with hashtags: 16.34%
  • Tweets without hashtags: 83.66%

Top 10 Hashtags

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

  1. #riyadh (2250775)
  2. #riyadhseasoncard (177034)
  3. #bambamxlvmenss26 (176977)
  4. #theexmorningep6 (146760)
  5. #lvmenss26 (113969)
  6. #louisvuitton (107877)
  7. #loveislandusa (91190)
  8. #pr (74995)
  9. #bambam (73544)
  10. #sui (66708)

Update History

Date New Instances Total Instances
2025-06-24T05:55:12Z 4031602 8063204
2025-06-24T15:54:58Z 4225319 12482240
2025-06-25T00:37:49Z 5041593 18340107
2025-06-25T04:18:26Z 5382698 24063910
2025-06-25T09:37:55Z 4110197 26901606
2025-06-25T12:45:11Z 4110197 31011803
2025-06-25T23:52:03Z 7984087 42869780
2025-06-26T05:54:06Z 7984087 50853867
2025-06-26T10:06:16Z 3911705 50693190
2025-06-26T12:35:29Z 3911652 54604789
2025-06-27T01:57:39Z 3911652 58516441
2025-06-27T10:30:04Z 9121427 72847643
2025-06-27T12:58:35Z 9121427 81969070
2025-06-27T18:01:48Z 9121427 91090497
2025-06-28T02:28:33Z 9081806 100132682
2025-06-28T13:08:59Z 7131413 105313702
2025-06-28T23:42:20Z 7131413 112445115
2025-06-29T09:35:09Z 4557954 114429610