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 16, 2025

Commit

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1 Parent(s): 99a8a22

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:** 646065392
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-03-15T04:11:20Z
-- **Last Updated:** 2025-03-15T16:17:26Z
 ### Data Distribution
-- Tweets with hashtags: 12.16%
-- Tweets without hashtags: 87.84%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (3605010)
-2. #tiktok (1310989)
 3. #zelena (1091551)
 4. #namtanfilm1stfmd1 (754731)
 5. #boi (656742)
@@ -236,4 +236,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-03-15T04:21:18Z | 7959396 | 638781505 |
 | 2025-03-15T15:36:04Z | 7741551 | 646305211 |
 | 2025-03-15T16:17:25Z | 7501732 | 653567124 |

 [This section is automatically updated]
+- **Total Instances:** 653345785
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-03-15T15:19:44Z
+- **Last Updated:** 2025-03-16T03:12:57Z
 ### 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 (3628249)
+2. #tiktok (1318904)
 3. #zelena (1091551)
 4. #namtanfilm1stfmd1 (754731)
 5. #boi (656742)
 | 2025-03-15T04:21:18Z | 7959396 | 638781505 |
 | 2025-03-15T15:36:04Z | 7741551 | 646305211 |
 | 2025-03-15T16:17:25Z | 7501732 | 653567124 |
+| 2025-03-16T03:12:57Z | 7280393 | 660626178 |