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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: goldentraversy07/x_dataset_2025
  • Subnet: Bittensor Subnet 13
  • Miner Hotkey: 5FyJ5ZV5GuaeV3EAkcgcHkvw1C625enSv5Vv6fseC2jAhQ7M

Miner Data Compliance Agreement

In uploading this dataset, I am agreeing to the Macrocosmos Miner Data Compliance Policy.

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{goldentraversy072025datauniversex_dataset_2025,
        title={The Data Universe Datasets: The finest collection of social media data the web has to offer},
        author={goldentraversy07},
        year={2025},
        url={https://huggingface.co/datasets/goldentraversy07/x_dataset_2025},
        }

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: 246158
  • Date Range: 2025-05-20T00:00:00Z to 2025-05-25T00:00:00Z
  • Last Updated: 2025-05-25T21:06:10Z

Data Distribution

  • Tweets with hashtags: 99.99%
  • Tweets without hashtags: 0.01%

Top 10 Hashtags

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

Rank Topic Total Count Percentage
1 #bitcoin 31627 12.85%
2 #btc 17020 6.91%
3 #crypto 14160 5.75%
4 #defi 10930 4.44%
5 #trump 8209 3.33%
6 #web3 8087 3.29%
7 #ai 7778 3.16%
8 #blockchain 7452 3.03%
9 #twitch 6974 2.83%
10 #music 6394 2.60%

Update History

Date New Instances Total Instances
2025-05-21T16:40:45Z 767 767
2025-05-21T21:03:22Z 767 1534
2025-05-21T21:30:51Z 767 2301
2025-05-22T01:54:30Z 11 2312
2025-05-22T09:24:27Z 5099 7411
2025-05-22T16:56:49Z 12766 20177
2025-05-22T22:35:16Z 6560 26737
2025-05-23T04:10:24Z 9860 36597
2025-05-23T10:11:06Z 12365 48962
2025-05-23T16:12:03Z 13810 62772
2025-05-23T22:11:10Z 27603 90375
2025-05-24T04:12:02Z 21929 112304
2025-05-24T10:12:43Z 24955 137259
2025-05-24T16:13:43Z 17941 155200
2025-05-24T22:14:51Z 27268 182468
2025-05-25T04:15:51Z 16547 199015
2025-05-25T09:20:57Z 15063 214078
2025-05-25T15:20:29Z 16016 230094
2025-05-25T21:06:10Z 16064 246158