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 6

Commit

d2a9516

·

verified ·

1 Parent(s): 1b22a05

Update dataset card (README.md)

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README.md CHANGED Viewed

@@ -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:** 1585201934
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-05T08:34:25Z
-- **Last Updated:** 2025-05-05T18:28:09Z
 ### Data Distribution
-- Tweets with hashtags: 14.63%
-- Tweets without hashtags: 85.37%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (14924021)
-2. #tiktok (3345907)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1753823)
@@ -351,4 +351,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-05-04T22:16:30Z | 6880093 | 1580431170 |
 | 2025-05-05T08:42:08Z | 5891916 | 1585334909 |
 | 2025-05-05T18:28:09Z | 5758941 | 1590960875 |

 [This section is automatically updated]
+- **Total Instances:** 1590939421
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-05T18:18:52Z
+- **Last Updated:** 2025-05-06T04:32:23Z
 ### Data Distribution
+- Tweets with hashtags: 16.66%
+- Tweets without hashtags: 83.34%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (15046432)
+2. #tiktok (3351624)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1753823)
 | 2025-05-04T22:16:30Z | 6880093 | 1580431170 |
 | 2025-05-05T08:42:08Z | 5891916 | 1585334909 |
 | 2025-05-05T18:28:09Z | 5758941 | 1590960875 |
+| 2025-05-06T04:32:23Z | 5737487 | 1596676908 |