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 10

Commit

08104de

·

verified ·

1 Parent(s): d99a893

Update dataset card (README.md)

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README.md +7 -6

README.md CHANGED Viewed

@@ -130,20 +130,20 @@ To report issues or contribute to the dataset, please contact the miner or use t
 [This section is automatically updated]
-- **Total Instances:** 1634776452
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-08T22:26:53Z
-- **Last Updated:** 2025-05-09T12:58:41Z
 ### Data Distribution
-- Tweets with hashtags: 17.18%
-- Tweets without hashtags: 82.82%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (16051940)
 2. #tiktok (3375777)
 3. #zelena (2554008)
 4. #boi (2088342)
@@ -358,4 +358,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-05-08T09:35:43Z | 7005470 | 1625979179 |
 | 2025-05-08T22:43:43Z | 8502943 | 1635979595 |
 | 2025-05-09T12:58:41Z | 7299800 | 1642076252 |

 [This section is automatically updated]
+- **Total Instances:** 1642658676
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-09T12:45:54Z
+- **Last Updated:** 2025-05-10T01:26:00Z
 ### Data Distribution
+- Tweets with hashtags: 16.95%
+- Tweets without hashtags: 83.05%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (16192127)
 2. #tiktok (3375777)
 3. #zelena (2554008)
 4. #boi (2088342)
 | 2025-05-08T09:35:43Z | 7005470 | 1625979179 |
 | 2025-05-08T22:43:43Z | 8502943 | 1635979595 |
 | 2025-05-09T12:58:41Z | 7299800 | 1642076252 |
+| 2025-05-10T01:26:00Z | 7882224 | 1650540900 |