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 Mar 1

Commit

5a1f17d

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1 Parent(s): 613a6c4

Update dataset card (README.md)

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@@ -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:** 401205190
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-02-27T04:19:41Z
-- **Last Updated:** 2025-02-28T10:11:27Z
 ### Data Distribution
-- Tweets with hashtags: 12.60%
-- Tweets without hashtags: 87.40%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (2415382)
 2. #zelena (687082)
 3. #tiktok (532600)
 4. #bbb25 (308309)
@@ -207,4 +207,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-02-24T20:19:06Z | 14928193 | 379327985 |
 | 2025-02-27T05:34:32Z | 20115072 | 404629936 |
 | 2025-02-28T10:11:26Z | 16690326 | 417895516 |

 [This section is automatically updated]
+- **Total Instances:** 412291047
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-02-28T22:15:49Z
+- **Last Updated:** 2025-03-01T17:37:58Z
 ### Data Distribution
+- Tweets with hashtags: 14.80%
+- Tweets without hashtags: 85.20%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (2432279)
 2. #zelena (687082)
 3. #tiktok (532600)
 4. #bbb25 (308309)
 | 2025-02-24T20:19:06Z | 14928193 | 379327985 |
 | 2025-02-27T05:34:32Z | 20115072 | 404629936 |
 | 2025-02-28T10:11:26Z | 16690326 | 417895516 |
+| 2025-03-01T17:37:58Z | 11085857 | 423376904 |