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 2

Commit

d6bffce

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verified ·

1 Parent(s): 1790036

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:** 2005972566
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-31T00:55:39Z
-- **Last Updated:** 2025-06-01T15:24:16Z
 ### Data Distribution
-- Tweets with hashtags: 14.06%
-- Tweets without hashtags: 85.94%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (22921293)
-2. #tiktok (3671074)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1958568)
@@ -398,4 +398,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-05-31T14:34:01Z | 16720623 | 1985688615 |
 | 2025-06-01T09:05:12Z | 18502287 | 2005972566 |
 | 2025-06-01T15:24:16Z | 18502287 | 2024474853 |

 [This section is automatically updated]
+- **Total Instances:** 2023399569
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-06-01T02:03:10Z
+- **Last Updated:** 2025-06-02T02:17:35Z
 ### Data Distribution
+- Tweets with hashtags: 15.09%
+- Tweets without hashtags: 84.91%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (23253347)
+2. #tiktok (3687562)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1958568)
 | 2025-05-31T14:34:01Z | 16720623 | 1985688615 |
 | 2025-06-01T09:05:12Z | 18502287 | 2005972566 |
 | 2025-06-01T15:24:16Z | 18502287 | 2024474853 |
+| 2025-06-02T02:17:34Z | 17427003 | 2040826572 |