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 Community

futuremoon commited on Jun 23

Commit

3860b02

·

verified ·

1 Parent(s): a720e06

Update dataset card (README.md)

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README.md +7 -6

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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:** 2411430741
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-06-23T09:37:50Z
-- **Last Updated:** 2025-06-23T14:25:30Z
 ### Data Distribution
-- Tweets with hashtags: 15.03%
-- Tweets without hashtags: 84.97%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (29615566)
 2. #tiktok (3969199)
 3. #zelena (2554008)
 4. #pr (2102894)
@@ -462,4 +462,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-06-23T06:19:01Z | 3914853 | 2406507536 |
 | 2025-06-23T09:43:29Z | 3914853 | 2410422389 |
 | 2025-06-23T14:25:29Z | 4923205 | 2416353946 |

 [This section is automatically updated]
+- **Total Instances:** 2415462343
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-06-23T15:57:42Z
+- **Last Updated:** 2025-06-23T23:42:24Z
 ### Data Distribution
+- Tweets with hashtags: 20.39%
+- Tweets without hashtags: 79.61%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (29681998)
 2. #tiktok (3969199)
 3. #zelena (2554008)
 4. #pr (2102894)
 | 2025-06-23T06:19:01Z | 3914853 | 2406507536 |
 | 2025-06-23T09:43:29Z | 3914853 | 2410422389 |
 | 2025-06-23T14:25:29Z | 4923205 | 2416353946 |
+| 2025-06-23T23:42:19Z | 4031602 | 2419493945 |