Update dataset card (README.md)

README.md

@@ -23,7 +23,7 @@ task_ids:
 ---
 
 
-# Bittensor Subnet 13 Reddit Dataset
+# Bittensor Subnet 13 X (Twitter) Dataset
 
 <center>
     <img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer">
@@ -43,18 +43,17 @@ task_ids:
 
 ### Dataset Summary
 
-This dataset is part of the Bittensor Subnet 13 decentralized network, containing preprocessed Reddit data. The data is continuously updated by network miners, providing a real-time stream of Reddit content for various analytical and machine learning tasks.
+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](https://github.com/macrocosm-os/data-universe).
 
 ### 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
-- Topic Modeling
-- Community Analysis
-- Content Categorization
+- Trend Detection
+- Content Analysis
+- User Behavior Modeling
 
 ### Languages
 
@@ -64,18 +63,17 @@ Primary language: Datasets are mostly English, but can be multilingual due to de
 
 ### Data Instances
 
-Each instance represents a single Reddit post or comment with the following fields:
+Each instance represents a single tweet with the following fields:
 
 
 ### Data Fields
 
-- `text` (string): The main content of the Reddit post or comment.
-- `label` (string): Sentiment or topic category of the content.
-- `dataType` (string): Indicates whether the entry is a post or a comment.
-- `communityName` (string): The name of the subreddit where the content was posted.
-- `datetime` (string): The date when the content was posted or commented.
+- `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 content.
+- `url_encoded` (string): An encoded version of any URLs included in the tweet. May be empty if no URLs are present.
 
 ### Data Splits
 
@@ -85,7 +83,7 @@ This dataset is continuously updated and does not have fixed splits. Users shoul
 
 ### Source Data
 
-Data is collected from public posts and comments on Reddit, adhering to the platform's terms of service and API usage guidelines.
+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
 
@@ -95,20 +93,21 @@ All usernames and URLs are encoded to protect user privacy. The dataset does not
 
 ### Social Impact and Biases
 
-Users should be aware of potential biases inherent in Reddit data, including demographic and content biases. This dataset reflects the content and opinions expressed on Reddit and should not be considered a representative sample of the general population.
+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 nature of media sources.
+- 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 subreddits and does not include private or restricted communities.
+- 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 Reddit Terms of Use.
+The dataset is released under the MIT license. The use of this dataset is also subject to X Terms of Use.
 
 ### Citation Information
 
@@ -134,32 +133,23 @@ To report issues or contribute to the dataset, please contact the miner or use t
 
 - **Total Instances:** 1274256
 - **Date Range:** 2024-10-01T10:00:00Z to 2024-10-01T15:47:41Z
-- **Last Updated:** 2024-11-07T08:34:50Z
+- **Last Updated:** 2024-11-07T08:34:52Z
 
 ### Data Distribution
 
-- Posts: 6.39%
-- Comments: 93.61%
+- Tweets with hashtags: 0.00%
+- Tweets without hashtags: 0.00%
 
-### Top 10 Subreddits
+### Top 10 Hashtags
 
 For full statistics, please refer to the `stats.json` file in the repository.
 
-1. r/askreddit (12623)
-2. r/aitah (8287)
-3. r/amitheasshole (3596)
-4. r/chimeboost (3535)
-5. r/pics (3343)
-6. r/teenagers (3268)
-7. r/wallstreetbets (3206)
-8. r/nostupidquestions (2955)
-9. r/fantasyfootball (2863)
-10. r/politics (2822)
-
+No hashtags available.
 
 ## Update History
 
 | Date | New Instances | Total Instances |
 |------|---------------|-----------------|
 | 2024-11-07T08:34:50Z | 1274256 | 1274256 |
+| 2024-11-07T08:34:52Z | 0 | 1274256 |