Datasets:

futuremoon
/

x_dataset_39

Tasks:

Text Classification

Token Classification

Question Answering

Modalities:

Formats:

Sub-tasks:

sentiment-analysis

topic-classification

named-entity-recognition

Size:

Libraries:

License:

Dataset card Data Studio Files Files and versions

futuremoon commited on Apr 22

Commit

66d8cc8

·

verified ·

1 Parent(s): 91fd593

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:** 1387027624
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-04-21T04:01:19Z
-- **Last Updated:** 2025-04-21T16:53:17Z
 ### Data Distribution
-- Tweets with hashtags: 13.68%
-- Tweets without hashtags: 86.32%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (10615660)
-2. #tiktok (3195567)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1619829)
@@ -323,4 +323,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-04-20T12:45:45Z | 10746357 | 1376228334 |
 | 2025-04-21T04:15:01Z | 11785426 | 1389052829 |
 | 2025-04-21T16:53:17Z | 9760221 | 1396787845 |

 [This section is automatically updated]
+- **Total Instances:** 1395497856
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-04-21T16:41:54Z
+- **Last Updated:** 2025-04-22T06:51:21Z
 ### Data Distribution
+- Tweets with hashtags: 14.82%
+- Tweets without hashtags: 85.18%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (10737481)
+2. #tiktok (3203497)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1619829)
 | 2025-04-20T12:45:45Z | 10746357 | 1376228334 |
 | 2025-04-21T04:15:01Z | 11785426 | 1389052829 |
 | 2025-04-21T16:53:17Z | 9760221 | 1396787845 |
+| 2025-04-22T06:51:21Z | 8470232 | 1403968088 |