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 Apr 14

Commit

b82cde0

·

verified ·

1 Parent(s): 6ab68e4

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:** 1262629205
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-04-13T05:39:58Z
-- **Last Updated:** 2025-04-13T18:01:39Z
 ### Data Distribution
-- Tweets with hashtags: 13.54%
-- Tweets without hashtags: 86.46%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (8804887)
 2. #tiktok (3095211)
 3. #zelena (2554008)
 4. #boi (2088342)
@@ -308,4 +308,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-04-12T14:55:57Z | 7414685 | 1249862244 |
 | 2025-04-13T05:52:02Z | 10443961 | 1263335481 |
 | 2025-04-13T18:01:39Z | 9737685 | 1272366890 |

 [This section is automatically updated]
+- **Total Instances:** 1270764926
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-04-13T17:49:16Z
+- **Last Updated:** 2025-04-14T05:42:25Z
 ### Data Distribution
+- Tweets with hashtags: 14.30%
+- Tweets without hashtags: 85.70%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (8913558)
 2. #tiktok (3095211)
 3. #zelena (2554008)
 4. #boi (2088342)
 | 2025-04-12T14:55:57Z | 7414685 | 1249862244 |
 | 2025-04-13T05:52:02Z | 10443961 | 1263335481 |
 | 2025-04-13T18:01:39Z | 9737685 | 1272366890 |
+| 2025-04-14T05:42:25Z | 8135721 | 1278900647 |