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 Mar 29

Commit

b7ae2be

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1 Parent(s): 6590d3a

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:** 992422858
 - **Date Range:** 2024-12-24T02:00:00Z to 2025-03-27T17:39:11Z
-- **Last Updated:** 2025-03-28T12:26:54Z
 ### Data Distribution
-- Tweets with hashtags: 13.68%
-- Tweets without hashtags: 86.32%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (5324923)
-2. #tiktok (2797831)
 3. #zelena (2535053)
 4. #boi (2088342)
 5. #pr (1491336)
@@ -278,4 +278,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-03-27T17:54:18Z | 3356726 | 965561482 |
 | 2025-03-28T08:40:59Z | 5749702 | 985321406 |
 | 2025-03-28T12:26:54Z | 12851154 | 1005274012 |

 [This section is automatically updated]
+- **Total Instances:** 998099681
 - **Date Range:** 2024-12-24T02:00:00Z to 2025-03-27T17:39:11Z
+- **Last Updated:** 2025-03-29T01:52:57Z
 ### Data Distribution
+- Tweets with hashtags: 100.00%
+- Tweets without hashtags: 0.00%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (5407953)
+2. #tiktok (2851041)
 3. #zelena (2535053)
 4. #boi (2088342)
 5. #pr (1491336)
 | 2025-03-27T17:54:18Z | 3356726 | 965561482 |
 | 2025-03-28T08:40:59Z | 5749702 | 985321406 |
 | 2025-03-28T12:26:54Z | 12851154 | 1005274012 |
+| 2025-03-29T01:52:57Z | 5676823 | 1003776504 |