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 Jun 16

Commit

e6bdc76

·

verified ·

1 Parent(s): 99d2899

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:** 2284628579
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-06-15T15:12:32Z
-- **Last Updated:** 2025-06-16T07:51:05Z
 ### Data Distribution
-- Tweets with hashtags: 17.02%
-- Tweets without hashtags: 82.98%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (27276106)
 2. #tiktok (3887894)
 3. #zelena (2554008)
 4. #boi (2088342)
@@ -434,4 +434,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-06-16T02:07:04Z | 4463049 | 2280165530 |
 | 2025-06-16T04:43:26Z | 4463049 | 2284628579 |
 | 2025-06-16T07:51:05Z | 4463049 | 2289091628 |

 [This section is automatically updated]
+- **Total Instances:** 2287937547
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-06-16T07:46:44Z
+- **Last Updated:** 2025-06-16T13:33:43Z
 ### Data Distribution
+- Tweets with hashtags: 15.78%
+- Tweets without hashtags: 84.22%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (27323814)
 2. #tiktok (3887894)
 3. #zelena (2554008)
 4. #boi (2088342)
 | 2025-06-16T02:07:04Z | 4463049 | 2280165530 |
 | 2025-06-16T04:43:26Z | 4463049 | 2284628579 |
 | 2025-06-16T07:51:05Z | 4463049 | 2289091628 |
+| 2025-06-16T13:33:43Z | 3308968 | 2291246515 |