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Update README.md with latest statistics

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@@ -40,6 +40,11 @@ task_ids:
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  - **Subnet:** Bittensor Subnet 13
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  - **Miner Hotkey:** 5GbgGSevez7QjfpCZ3oM9qekDWVg12jUjKFHyPPZWP6hYQwU
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  ### Dataset Summary
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  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.
@@ -129,14 +134,14 @@ To report issues or contribute to the dataset, please contact the miner or use t
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  [This section is automatically updated]
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- - **Total Instances:** 4505999
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- - **Date Range:** 2025-01-02T00:00:00Z to 2025-02-08T00:00:00Z
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- - **Last Updated:** 2025-02-18T03:41:04Z
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  ### Data Distribution
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- - Tweets with hashtags: 2.12%
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- - Tweets without hashtags: 97.88%
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  ### Top 10 Hashtags
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  | Rank | Topic | Total Count | Percentage |
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  |------|-------|-------------|-------------|
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- | 1 | NULL | 821344 | 89.58% |
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- | 2 | #箱根駅伝 | 8147 | 0.89% |
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- | 3 | #thameposeriesep9 | 7605 | 0.83% |
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- | 4 | #tiktok | 5032 | 0.55% |
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- | 5 | #zelena | 4878 | 0.53% |
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- | 6 | #smackdown | 4844 | 0.53% |
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- | 7 | #कबीर_परमेश्वर_निर्वाण_दिवस | 4843 | 0.53% |
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- | 8 | #ad | 3533 | 0.39% |
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- | 9 | #delhielectionresults | 3476 | 0.38% |
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- | 10 | #箱根駅伝2025 | 3164 | 0.35% |
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  ## Update History
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  | 2025-01-25T07:17:48Z | 453526 | 3589128 |
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  | 2025-01-25T07:18:19Z | 453526 | 4042654 |
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  | 2025-02-18T03:41:04Z | 463345 | 4505999 |
 
 
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  - **Subnet:** Bittensor Subnet 13
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  - **Miner Hotkey:** 5GbgGSevez7QjfpCZ3oM9qekDWVg12jUjKFHyPPZWP6hYQwU
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+ ### Miner Data Compliance Agreement
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+
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+ In uploading this dataset, I am agreeing to the [Macrocosmos Miner Data Compliance Policy](https://github.com/macrocosm-os/data-universe/blob/add-miner-policy/docs/miner_policy.md).
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  ### Dataset Summary
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  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.
 
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  [This section is automatically updated]
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+ - **Total Instances:** 4995216
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+ - **Date Range:** 2025-01-02T00:00:00Z to 2025-04-12T00:00:00Z
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+ - **Last Updated:** 2025-04-22T10:03:17Z
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  ### Data Distribution
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+ - Tweets with hashtags: 3.51%
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+ - Tweets without hashtags: 96.49%
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  ### Top 10 Hashtags
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  | Rank | Topic | Total Count | Percentage |
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  |------|-------|-------------|-------------|
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+ | 1 | NULL | 1230752 | 87.53% |
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+ | 2 | #riyadh | 8176 | 0.58% |
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+ | 3 | #箱根駅伝 | 8147 | 0.58% |
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+ | 4 | #thameposeriesep9 | 7605 | 0.54% |
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+ | 5 | #tiktok | 7400 | 0.53% |
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+ | 6 | #moqeelatagzeps131 | 6138 | 0.44% |
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+ | 7 | #ad | 5399 | 0.38% |
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+ | 8 | #ashshinesonstage | 5270 | 0.37% |
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+ | 9 | #öğretmenekabineden68binatama | 4994 | 0.36% |
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+ | 10 | #zelena | 4878 | 0.35% |
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  ## Update History
 
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  | 2025-01-25T07:17:48Z | 453526 | 3589128 |
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  | 2025-01-25T07:18:19Z | 453526 | 4042654 |
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  | 2025-02-18T03:41:04Z | 463345 | 4505999 |
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+ | 2025-04-22T10:03:17Z | 489217 | 4995216 |