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 Jan 30

Commit

e261d4e

·

verified ·

1 Parent(s): a8f7f81

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:** 97176575
 - **Date Range:** 2024-12-24T02:00:00Z to 2025-01-28T15:06:15Z
-- **Last Updated:** 2025-01-30T04:54:01Z
 ### Data Distribution
-- Tweets with hashtags: 14.94%
-- Tweets without hashtags: 85.06%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (495517)
-2. #tiktok (143642)
 3. #zelena (103331)
 4. #ad (95634)
 5. #plutoseriesep11 (83413)
@@ -173,4 +173,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-01-30T03:50:51Z | 4584599 | 88475548 |
 | 2025-01-30T04:15:17Z | 5608231 | 95107411 |
 | 2025-01-30T04:53:51Z | 7677395 | 104853970 |

 [This section is automatically updated]
+- **Total Instances:** 106031912
 - **Date Range:** 2024-12-24T02:00:00Z to 2025-01-28T15:06:15Z
+- **Last Updated:** 2025-01-30T05:40:14Z
 ### Data Distribution
+- Tweets with hashtags: 15.71%
+- Tweets without hashtags: 84.29%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (515444)
+2. #tiktok (156199)
 3. #zelena (103331)
 4. #ad (95634)
 5. #plutoseriesep11 (83413)
 | 2025-01-30T03:50:51Z | 4584599 | 88475548 |
 | 2025-01-30T04:15:17Z | 5608231 | 95107411 |
 | 2025-01-30T04:53:51Z | 7677395 | 104853970 |
+| 2025-01-30T05:40:14Z | 8855337 | 114887249 |