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 22

Commit

b174b21

·

verified ·

1 Parent(s): 49a1325

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:** 1809023685
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-21T02:21:13Z
-- **Last Updated:** 2025-05-21T15:10:02Z
 ### Data Distribution
-- Tweets with hashtags: 14.87%
-- Tweets without hashtags: 85.13%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (19297679)
-2. #tiktok (3493961)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1817383)
@@ -380,4 +380,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-05-20T11:40:05Z | 6761155 | 1799858607 |
 | 2025-05-21T02:32:01Z | 7009340 | 1807116132 |
 | 2025-05-21T15:10:01Z | 8916893 | 1817940578 |

 [This section is automatically updated]
+- **Total Instances:** 1816891365
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-21T14:55:29Z
+- **Last Updated:** 2025-05-22T06:19:48Z
 ### Data Distribution
+- Tweets with hashtags: 15.86%
+- Tweets without hashtags: 84.14%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (19388136)
+2. #tiktok (3502353)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1817383)
 | 2025-05-20T11:40:05Z | 6761155 | 1799858607 |
 | 2025-05-21T02:32:01Z | 7009340 | 1807116132 |
 | 2025-05-21T15:10:01Z | 8916893 | 1817940578 |
+| 2025-05-22T06:19:48Z | 7867680 | 1824759045 |