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 24, 2025

Commit

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·

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1 Parent(s): 6fce7f3

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:** 877130356
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-03-23T04:20:05Z
-- **Last Updated:** 2025-03-23T18:05:43Z
 ### Data Distribution
-- Tweets with hashtags: 100.00%
-- Tweets without hashtags: 0.00%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (4673854)
-2. #tiktok (2372573)
 3. #zelena (2096161)
 4. #boi (1735571)
 5. #bbb25 (1212868)
@@ -264,4 +264,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-03-23T04:38:58Z | 6530218 | 868349043 |
 | 2025-03-23T17:40:34Z | 7442691 | 876704207 |
 | 2025-03-23T18:05:42Z | 7868840 | 884999196 |

 [This section is automatically updated]
+- **Total Instances:** 885809482
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-03-23T17:30:10Z
+- **Last Updated:** 2025-03-24T06:55:31Z
 ### Data Distribution
+- Tweets with hashtags: 14.22%
+- Tweets without hashtags: 85.78%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (4720618)
+2. #tiktok (2381943)
 3. #zelena (2096161)
 4. #boi (1735571)
 5. #bbb25 (1212868)
 | 2025-03-23T04:38:58Z | 6530218 | 868349043 |
 | 2025-03-23T17:40:34Z | 7442691 | 876704207 |
 | 2025-03-23T18:05:42Z | 7868840 | 884999196 |
+| 2025-03-24T06:55:30Z | 8679126 | 894488608 |