Datasets:

futuremoon
/

x_dataset_39

Tasks:

Text Classification

Token Classification

Question Answering

Sub-tasks:

sentiment-analysis

topic-classification

named-entity-recognition

License:

Dataset card Data Studio Files Files and versions Community

futuremoon commited on May 25

Commit

ec90803

·

verified ·

1 Parent(s): a3038e4

Update dataset card (README.md)

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README.md CHANGED Viewed

@@ -130,21 +130,21 @@ To report issues or contribute to the dataset, please contact the miner or use t
 [This section is automatically updated]
-- **Total Instances:** 1858001712
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-24T12:13:59Z
-- **Last Updated:** 2025-05-25T02:05:36Z
 ### Data Distribution
-- Tweets with hashtags: 13.90%
-- Tweets without hashtags: 86.10%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (20107546)
-2. #tiktok (3534753)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1841500)
@@ -386,4 +386,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-05-23T22:33:33Z | 7645742 | 1850078772 |
 | 2025-05-24T12:27:54Z | 7556215 | 1857545460 |
 | 2025-05-25T02:05:36Z | 8012467 | 1866014179 |

 [This section is automatically updated]
+- **Total Instances:** 1864501500
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-25T01:49:00Z
+- **Last Updated:** 2025-05-25T13:49:59Z
 ### Data Distribution
+- Tweets with hashtags: 14.32%
+- Tweets without hashtags: 85.68%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (20240652)
+2. #tiktok (3541819)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1841500)
 | 2025-05-23T22:33:33Z | 7645742 | 1850078772 |
 | 2025-05-24T12:27:54Z | 7556215 | 1857545460 |
 | 2025-05-25T02:05:36Z | 8012467 | 1866014179 |
+| 2025-05-25T13:49:58Z | 6499788 | 1871001288 |