Datasets:

futuremoon
/

x_dataset_39

Tasks:

Text Classification

Token Classification

Question Answering

Sub-tasks:

sentiment-analysis

topic-classification

named-entity-recognition

License:

Dataset card Data Studio Files Files and versions Community

futuremoon commited on May 3

Commit

2b3cdf0

·

verified ·

1 Parent(s): 5fc406f

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:** 1547445022
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-02T10:50:13Z
-- **Last Updated:** 2025-05-02T23:49:25Z
 ### Data Distribution
-- Tweets with hashtags: 15.37%
-- Tweets without hashtags: 84.63%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (13940906)
-2. #tiktok (3305545)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1732749)
@@ -345,4 +345,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-05-01T20:34:06Z | 7874862 | 1539661690 |
 | 2025-05-02T11:01:11Z | 7524260 | 1546835348 |
 | 2025-05-02T23:49:25Z | 8133934 | 1555578956 |

 [This section is automatically updated]
+- **Total Instances:** 1554323698
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-02T23:37:49Z
+- **Last Updated:** 2025-05-03T11:46:28Z
 ### Data Distribution
+- Tweets with hashtags: 16.06%
+- Tweets without hashtags: 83.94%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (14136062)
+2. #tiktok (3313214)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1732749)
 | 2025-05-01T20:34:06Z | 7874862 | 1539661690 |
 | 2025-05-02T11:01:11Z | 7524260 | 1546835348 |
 | 2025-05-02T23:49:25Z | 8133934 | 1555578956 |
+| 2025-05-03T11:46:28Z | 6878676 | 1561202374 |