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 1

Commit

ab53c38

·

verified ·

1 Parent(s): 82625c5

Update dataset card (README.md)

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README.md +7 -6

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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:** 1515947517
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-04-30T03:31:03Z
-- **Last Updated:** 2025-04-30T16:50:01Z
 ### Data Distribution
-- Tweets with hashtags: 15.16%
-- Tweets without hashtags: 84.84%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (13198294)
 2. #tiktok (3289136)
 3. #zelena (2554008)
 4. #boi (2088342)
@@ -341,4 +341,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-04-29T16:01:58Z | 5861963 | 1507069436 |
 | 2025-04-30T03:42:04Z | 9008895 | 1519225263 |
 | 2025-04-30T16:50:01Z | 5731149 | 1521678666 |

 [This section is automatically updated]
+- **Total Instances:** 1523911966
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-04-30T16:42:21Z
+- **Last Updated:** 2025-05-01T07:17:48Z
 ### Data Distribution
+- Tweets with hashtags: 16.94%
+- Tweets without hashtags: 83.06%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (13330361)
 2. #tiktok (3289136)
 3. #zelena (2554008)
 4. #boi (2088342)
 | 2025-04-29T16:01:58Z | 5861963 | 1507069436 |
 | 2025-04-30T03:42:04Z | 9008895 | 1519225263 |
 | 2025-04-30T16:50:01Z | 5731149 | 1521678666 |
+| 2025-05-01T07:17:48Z | 7964449 | 1531876415 |