x_dataset_170 / README.md
qr12138's picture
Update README.md with latest statistics
c4bfc88 verified
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: qr12138/x_dataset_170
  • Subnet: Bittensor Subnet 13
  • Miner Hotkey: 5Dc1nTgKrrJxRfrtRZVwMNTJup7t3ML57upG9nsbpy1PuXDM

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{qr121382025datauniversex_dataset_170,
        title={The Data Universe Datasets: The finest collection of social media data the web has to offer},
        author={qr12138},
        year={2025},
        url={https://huggingface.co/datasets/qr12138/x_dataset_170},
        }

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: 48303
  • Date Range: 2025-02-15T00:00:00Z to 2025-03-22T00:00:00Z
  • Last Updated: 2025-04-15T18:02:58Z

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 4577 9.48%
2 #israel 2735 5.66%
3 #btc 2558 5.30%
4 #ad 2519 5.21%
5 #trump 2421 5.01%
6 #crypto 2387 4.94%
7 #tiktok 2298 4.76%
8 #ukraine 1752 3.63%
9 #defi 1017 2.11%
10 #zelena 904 1.87%

Update History

Date New Instances Total Instances
2025-03-16T03:27:44Z 6310 6310
2025-03-16T20:44:13Z 767 7077
2025-03-17T15:11:46Z 17716 24793
2025-03-18T08:28:53Z 17716 42509
2025-03-19T02:33:44Z 1189 43698
2025-03-19T20:48:11Z 470 44168
2025-03-20T14:48:36Z 756 44924
2025-03-21T08:49:06Z 576 45500
2025-03-22T02:52:08Z 1828 47328
2025-03-22T20:07:48Z 945 48273
2025-03-23T14:08:55Z 1 48274
2025-03-24T08:09:48Z 1 48275
2025-03-25T02:11:11Z 1 48276
2025-03-25T20:15:45Z 1 48277
2025-03-26T14:21:58Z 1 48278
2025-03-27T08:31:17Z 1 48279
2025-03-28T02:47:33Z 1 48280
2025-03-28T21:00:02Z 1 48281
2025-03-29T15:14:54Z 1 48282
2025-03-31T02:35:37Z 1 48283
2025-03-31T20:36:15Z 1 48284
2025-04-01T14:51:51Z 1 48285
2025-04-02T09:04:49Z 1 48286
2025-04-03T04:58:22Z 1 48287
2025-04-04T01:03:46Z 1 48288
2025-04-04T18:46:03Z 1 48289
2025-04-05T12:42:33Z 1 48290
2025-04-06T07:00:28Z 1 48291
2025-04-07T01:27:53Z 1 48292
2025-04-07T19:52:25Z 1 48293
2025-04-08T21:50:49Z 1 48294
2025-04-09T16:21:58Z 1 48295
2025-04-10T10:22:50Z 1 48296
2025-04-11T04:23:56Z 1 48297
2025-04-11T22:17:11Z 1 48298
2025-04-12T16:30:41Z 1 48299
2025-04-13T10:41:32Z 1 48300
2025-04-14T04:42:47Z 1 48301
2025-04-14T23:29:16Z 1 48302
2025-04-15T18:02:58Z 1 48303