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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: momo1942/x_dataset_142
  • Subnet: Bittensor Subnet 13
  • Miner Hotkey: 5Fk6Ur49sNZjSVaCj4AVbEhuYTYTnVSdh5evvMDPExZSdD8g

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{momo19422024datauniversex_dataset_142,
        title={The Data Universe Datasets: The finest collection of social media data the web has to offer},
        author={momo1942},
        year={2024},
        url={https://huggingface.co/datasets/momo1942/x_dataset_142},
        }

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: 339328212
  • Date Range: 2024-11-07T00:00:00Z to 2024-12-26T00:00:00Z
  • Last Updated: 2024-12-26T22:32:39Z

Data Distribution

  • Tweets with hashtags: 42.15%
  • Tweets without hashtags: 57.85%

Top 10 Hashtags

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

Rank Topic Total Count Percentage
1 NULL 195726319 57.78%
2 #tiktok 1220049 0.36%
3 #riyadh 1194631 0.35%
4 #ad 789944 0.23%
5 #แจกจริง 414617 0.12%
6 #yahooニュース 404613 0.12%
7 #pr 403651 0.12%
8 #bitcoin 328534 0.10%
9 #zonauang 310163 0.09%
10 #冬もピッコマでポイ活 281443 0.08%

Update History

Date New Instances Total Instances
2024-11-07T05:12:08Z 583995 583995
2024-11-07T05:13:12Z 2621594 3205589
2024-11-12T11:56:24Z 29698965 32904554
2024-11-16T02:00:52Z 638673 33543227
2024-11-21T08:39:19Z 14005954 47549181
2024-11-24T20:57:40Z 29453461 77002642
2024-11-28T09:16:55Z 29140580 106143222
2024-12-01T21:33:27Z 29755006 135898228
2024-12-05T09:53:01Z 28567734 164465962
2024-12-08T22:12:53Z 30149067 194615029
2024-12-12T19:39:26Z 29596603 224211632
2024-12-16T07:59:24Z 28103153 252314785
2024-12-19T20:18:40Z 28811313 281126098
2024-12-23T08:40:23Z 29001812 310127910
2024-12-26T20:58:10Z 28550136 338678046
2024-12-26T22:32:39Z 650166 339328212