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 Apr 6

Commit

94b5b2e

·

verified ·

1 Parent(s): 86e7ca8

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:** 1133520110
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-04-04T23:41:52Z
-- **Last Updated:** 2025-04-05T15:03:27Z
 ### Data Distribution
-- Tweets with hashtags: 14.41%
-- Tweets without hashtags: 85.59%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (7094310)
-2. #tiktok (2978880)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1544588)
@@ -292,4 +292,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-04-04T23:57:12Z | 10689969 | 1121641966 |
 | 2025-04-05T14:22:23Z | 10689969 | 1132331935 |
 | 2025-04-05T15:03:27Z | 11878144 | 1145398254 |

 [This section is automatically updated]
+- **Total Instances:** 1143942503
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-04-05T14:46:39Z
+- **Last Updated:** 2025-04-06T04:40:42Z
 ### Data Distribution
+- Tweets with hashtags: 14.92%
+- Tweets without hashtags: 85.08%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (7229062)
+2. #tiktok (2989225)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1544588)
 | 2025-04-04T23:57:12Z | 10689969 | 1121641966 |
 | 2025-04-05T14:22:23Z | 10689969 | 1132331935 |
 | 2025-04-05T15:03:27Z | 11878144 | 1145398254 |
+| 2025-04-06T04:40:41Z | 10422393 | 1154364896 |