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 Community

futuremoon commited on Mar 23

Commit

54f5abf

·

verified ·

1 Parent(s): 3a1bc11

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:** 846453552
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-03-22T02:41:31Z
-- **Last Updated:** 2025-03-22T16:27:04Z
 ### 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 (4580217)
 2. #tiktok (2230917)
 3. #zelena (1966321)
 4. #boi (1606534)
@@ -260,4 +260,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-03-22T03:36:05Z | 10861038 | 840696269 |
 | 2025-03-22T16:11:23Z | 7441064 | 844717359 |
 | 2025-03-22T16:27:04Z | 9177257 | 855630809 |

 [This section is automatically updated]
+- **Total Instances:** 855288607
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-03-22T16:01:28Z
+- **Last Updated:** 2025-03-23T04:28:49Z
 ### Data Distribution
+- Tweets with hashtags: 14.16%
+- Tweets without hashtags: 85.84%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (4624464)
 2. #tiktok (2230917)
 3. #zelena (1966321)
 4. #boi (1606534)
 | 2025-03-22T03:36:05Z | 10861038 | 840696269 |
 | 2025-03-22T16:11:23Z | 7441064 | 844717359 |
 | 2025-03-22T16:27:04Z | 9177257 | 855630809 |
+| 2025-03-23T04:28:49Z | 8835055 | 864123662 |