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 20

Commit

e666000

·

verified ·

1 Parent(s): eafa1bd

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:** 1354735620
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-04-19T03:53:50Z
-- **Last Updated:** 2025-04-19T19:13:13Z
 ### Data Distribution
-- Tweets with hashtags: 12.85%
-- Tweets without hashtags: 87.15%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (10186694)
-2. #tiktok (3164262)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1602501)
@@ -320,4 +320,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-04-18T11:24:52Z | 7073015 | 1344132469 |
 | 2025-04-19T04:03:18Z | 6625624 | 1350310702 |
 | 2025-04-19T19:13:13Z | 11050542 | 1365786162 |

 [This section is automatically updated]
+- **Total Instances:** 1365481977
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-04-19T18:58:51Z
+- **Last Updated:** 2025-04-20T12:45:45Z
 ### Data Distribution
+- Tweets with hashtags: 14.34%
+- Tweets without hashtags: 85.66%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (10310217)
+2. #tiktok (3174363)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1602501)
 | 2025-04-18T11:24:52Z | 7073015 | 1344132469 |
 | 2025-04-19T04:03:18Z | 6625624 | 1350310702 |
 | 2025-04-19T19:13:13Z | 11050542 | 1365786162 |
+| 2025-04-20T12:45:45Z | 10746357 | 1376228334 |