Datasets:
The dataset viewer is not available for this split.
Error code: InfoError
Exception: ReadTimeout
Message: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: b3a49602-49eb-4a86-90da-598253b35b63)')
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 211, in compute_first_rows_from_streaming_response
info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 278, in get_dataset_config_info
builder = load_dataset_builder(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1781, in load_dataset_builder
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1663, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1620, in dataset_module_factory
return HubDatasetModuleFactoryWithoutScript(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1018, in get_module
data_files = DataFilesDict.from_patterns(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 690, in from_patterns
else DataFilesList.from_patterns(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 593, in from_patterns
origin_metadata = _get_origin_metadata(data_files, download_config=download_config)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 507, in _get_origin_metadata
return thread_map(
File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 69, in thread_map
return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map
return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 1169, in __iter__
for obj in iterable:
File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 609, in result_iterator
yield fs.pop().result()
File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/usr/local/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 486, in _get_single_origin_metadata
resolved_path = fs.resolve_path(data_file)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 198, in resolve_path
repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist
self._api.repo_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2704, in repo_info
return method(
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2561, in dataset_info
r = get_session().get(path, headers=headers, timeout=timeout, params=params)
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 602, in get
return self.request("GET", url, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 93, in send
return super().send(request, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/adapters.py", line 635, in send
raise ReadTimeout(e, request=request)
requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: b3a49602-49eb-4a86-90da-598253b35b63)')Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Bittensor Subnet 13 X (Twitter) Dataset
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{littleGuagua2025datauniversex_dataset_8140,
title={The Data Universe Datasets: The finest collection of social media data the web has to offer},
author={littleGuagua},
year={2025},
url={https://huggingface.co/datasets/littleGuagua/x_dataset_8140},
}
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: 50376997
- Date Range: 2025-01-21T00:00:00Z to 2025-02-10T00:00:00Z
- Last Updated: 2025-02-18T20:55:45Z
Data Distribution
- Tweets with hashtags: 39.81%
- Tweets without hashtags: 60.19%
Top 10 Hashtags
For full statistics, please refer to the stats.json file in the repository.
| Rank | Topic | Total Count | Percentage |
|---|---|---|---|
| 1 | NULL | 30319553 | 60.19% |
| 2 | #riyadh | 310085 | 0.62% |
| 3 | #zelena | 215655 | 0.43% |
| 4 | #tiktok | 192806 | 0.38% |
| 5 | #ad | 112205 | 0.22% |
| 6 | #bbb25 | 110854 | 0.22% |
| 7 | #grammys | 82659 | 0.16% |
| 8 | #jhope_at_galadespiècesjaunes | 70215 | 0.14% |
| 9 | #bbmzansi | 66978 | 0.13% |
| 10 | #sixtonesann | 65126 | 0.13% |
Update History
| Date | New Instances | Total Instances |
|---|---|---|
| 2025-01-26T13:26:49Z | 2721817 | 2721817 |
| 2025-01-30T01:43:17Z | 9702324 | 12424141 |
| 2025-02-02T13:47:13Z | 12507356 | 24931497 |
| 2025-02-06T01:50:29Z | 8691717 | 33623214 |
| 2025-02-09T13:54:19Z | 8748247 | 42371461 |
| 2025-02-13T02:21:42Z | 6726572 | 49098033 |
| 2025-02-18T05:54:36Z | 648154 | 49746187 |
| 2025-02-18T20:55:45Z | 630810 | 50376997 |
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