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 May 24

Commit

2a7eb33

·

verified ·

1 Parent(s): 94ebd2b

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:** 1842433030
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-23T09:24:01Z
-- **Last Updated:** 2025-05-23T22:33:33Z
 ### Data Distribution
-- Tweets with hashtags: 13.56%
-- Tweets without hashtags: 86.44%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (19853558)
-2. #tiktok (3518319)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1834004)
@@ -384,4 +384,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-05-22T21:01:37Z | 8964227 | 1834819819 |
 | 2025-05-23T09:36:32Z | 8931696 | 1843718984 |
 | 2025-05-23T22:33:33Z | 7645742 | 1850078772 |

 [This section is automatically updated]
+- **Total Instances:** 1849989245
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-23T22:20:24Z
+- **Last Updated:** 2025-05-24T12:27:54Z
 ### Data Distribution
+- Tweets with hashtags: 14.25%
+- Tweets without hashtags: 85.75%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (19988240)
+2. #tiktok (3526009)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1834004)
 | 2025-05-22T21:01:37Z | 8964227 | 1834819819 |
 | 2025-05-23T09:36:32Z | 8931696 | 1843718984 |
 | 2025-05-23T22:33:33Z | 7645742 | 1850078772 |
+| 2025-05-24T12:27:54Z | 7556215 | 1857545460 |