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 5

Commit

66c1e6c

·

verified ·

1 Parent(s): 05f7177

Update dataset card (README.md)

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@@ -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:** 1573551077
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-04T11:08:12Z
-- **Last Updated:** 2025-05-04T22:16:30Z
 ### Data Distribution
-- Tweets with hashtags: 15.54%
-- Tweets without hashtags: 84.46%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (14632343)
-2. #tiktok (3334009)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1747199)
@@ -349,4 +349,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-05-03T22:58:26Z | 6350706 | 1567025110 |
 | 2025-05-04T11:17:57Z | 5996580 | 1572667564 |
 | 2025-05-04T22:16:30Z | 6880093 | 1580431170 |

 [This section is automatically updated]
+- **Total Instances:** 1579442993
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-04T22:06:37Z
+- **Last Updated:** 2025-05-05T08:42:08Z
 ### Data Distribution
+- Tweets with hashtags: 15.79%
+- Tweets without hashtags: 84.21%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (14802208)
+2. #tiktok (3340113)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1747199)
 | 2025-05-03T22:58:26Z | 6350706 | 1567025110 |
 | 2025-05-04T11:17:57Z | 5996580 | 1572667564 |
 | 2025-05-04T22:16:30Z | 6880093 | 1580431170 |
+| 2025-05-05T08:42:08Z | 5891916 | 1585334909 |