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 May 7

Commit

15eeaab

·

verified ·

1 Parent(s): 14fd563

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:** 1596290774
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-06T04:14:12Z
-- **Last Updated:** 2025-05-06T17:29:23Z
 ### Data Distribution
-- Tweets with hashtags: 15.27%
-- Tweets without hashtags: 84.73%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (15194766)
-2. #tiktok (3351624)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1753823)
@@ -353,4 +353,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-05-05T18:28:09Z | 5758941 | 1590960875 |
 | 2025-05-06T04:32:23Z | 5737487 | 1596676908 |
 | 2025-05-06T17:29:22Z | 5351353 | 1601642127 |

 [This section is automatically updated]
+- **Total Instances:** 1604158503
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-06T17:21:50Z
+- **Last Updated:** 2025-05-07T07:15:23Z
 ### Data Distribution
+- Tweets with hashtags: 16.85%
+- Tweets without hashtags: 83.15%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (15367062)
+2. #tiktok (3359546)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1753823)
 | 2025-05-05T18:28:09Z | 5758941 | 1590960875 |
 | 2025-05-06T04:32:23Z | 5737487 | 1596676908 |
 | 2025-05-06T17:29:22Z | 5351353 | 1601642127 |
+| 2025-05-07T07:15:23Z | 7867729 | 1612026232 |