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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: icedwind/x_dataset_53985
  • Subnet: Bittensor Subnet 13
  • Miner Hotkey: 5FUbAfAtQ4tkbMqSz6T3ca6bU99R4pVu4RSTnesqE5JvJ2mK

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{icedwind2025datauniversex_dataset_53985,
        title={The Data Universe Datasets: The finest collection of social media data the web has to offer},
        author={icedwind},
        year={2025},
        url={https://huggingface.co/datasets/icedwind/x_dataset_53985},
        }

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: 61380737
  • Date Range: 2025-01-21T00:00:00Z to 2025-02-14T00:00:00Z
  • Last Updated: 2025-02-20T01:49:45Z

Data Distribution

  • Tweets with hashtags: 43.49%
  • Tweets without hashtags: 56.51%

Top 10 Hashtags

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

Rank Topic Total Count Percentage
1 NULL 34688155 56.51%
2 #riyadh 382357 0.62%
3 #zelena 283383 0.46%
4 #tiktok 254499 0.41%
5 #bbb25 147908 0.24%
6 #ad 141597 0.23%
7 #sixtonesann 104414 0.17%
8 #bbmzansi 83556 0.14%
9 #pr 77205 0.13%
10 #แจกจริง 76934 0.13%

Update History

Date New Instances Total Instances
2025-01-27T07:41:29Z 4099836 4099836
2025-01-30T19:44:12Z 8503733 12603569
2025-02-03T07:47:38Z 9459802 22063371
2025-02-06T19:51:00Z 7912627 29975998
2025-02-10T07:54:07Z 7711993 37687991
2025-02-13T19:58:11Z 9797890 47485881
2025-02-17T07:39:21Z 11047239 58533120
2025-02-18T02:28:27Z 660780 59193900
2025-02-18T17:30:00Z 823096 60016996
2025-02-19T09:21:34Z 690967 60707963
2025-02-20T01:49:45Z 672774 61380737