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

Dataset Description

Repository: LadyMia/x_dataset_21318
Subnet: Bittensor Subnet 13
Miner Hotkey: 5GBQoeC7P5VdbsHiSQUGTCah82kwMyZvsj9uxFDQJa7MANAS

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{LadyMia2025datauniversex_dataset_21318,
        title={The Data Universe Datasets: The finest collection of social media data the web has to offer},
        author={LadyMia},
        year={2025},
        url={https://huggingface.co/datasets/LadyMia/x_dataset_21318},
        }

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: 45498276
Date Range: 2025-01-21T00:00:00Z to 2025-02-12T00:00:00Z
Last Updated: 2025-02-18T18:49:13Z

Data Distribution

Tweets with hashtags: 51.87%
Tweets without hashtags: 48.13%

Top 10 Hashtags

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

Rank	Topic	Total Count	Percentage
1	NULL	21898929	48.13%
2	#riyadh	417594	0.92%
3	#zelena	277861	0.61%
4	#tiktok	225605	0.50%
5	#bbb25	162045	0.36%
6	#ad	130728	0.29%
7	#jhope_at_galadespiècesjaunes	121701	0.27%
8	#granhermano	75979	0.17%
9	#royalrumble	75860	0.17%
10	#grammys	75577	0.17%

Update History

Date	New Instances	Total Instances
2025-01-27T01:07:31Z	3256771	3256771
2025-01-30T13:10:30Z	8250381	11507152
2025-02-03T01:13:34Z	8536792	20043944
2025-02-06T13:16:42Z	7440251	27484195
2025-02-10T01:20:53Z	10485842	37970037
2025-02-13T13:25:49Z	6125363	44095400
2025-02-18T03:47:55Z	752941	44848341
2025-02-18T18:49:13Z	649935	45498276