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 May 23

Commit

82119b2

·

verified ·

1 Parent(s): 740d433

Update dataset card (README.md)

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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:** 1825855592
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-22T06:10:16Z
-- **Last Updated:** 2025-05-22T21:01:37Z
 ### Data Distribution
-- Tweets with hashtags: 13.90%
-- Tweets without hashtags: 86.10%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (19555699)
 2. #tiktok (3510784)
 3. #zelena (2554008)
 4. #boi (2088342)
@@ -382,4 +382,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-05-21T15:10:01Z | 8916893 | 1817940578 |
 | 2025-05-22T06:19:48Z | 7867680 | 1824759045 |
 | 2025-05-22T21:01:37Z | 8964227 | 1834819819 |

 [This section is automatically updated]
+- **Total Instances:** 1834787288
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-22T20:47:49Z
+- **Last Updated:** 2025-05-23T09:36:32Z
 ### Data Distribution
+- Tweets with hashtags: 16.88%
+- Tweets without hashtags: 83.12%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (19713152)
 2. #tiktok (3510784)
 3. #zelena (2554008)
 4. #boi (2088342)
 | 2025-05-21T15:10:01Z | 8916893 | 1817940578 |
 | 2025-05-22T06:19:48Z | 7867680 | 1824759045 |
 | 2025-05-22T21:01:37Z | 8964227 | 1834819819 |
+| 2025-05-23T09:36:32Z | 8931696 | 1843718984 |