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 22

Commit

7a6e4df

·

verified ·

1 Parent(s): e4d5cc9

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:** 811277025
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-03-21T02:31:29Z
-- **Last Updated:** 2025-03-21T14:47:46Z
 ### 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 (4276006)
 2. #tiktok (2052274)
 3. #zelena (1819555)
 4. #boi (1415722)
@@ -256,4 +256,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-03-21T03:38:03Z | 9574330 | 806404707 |
 | 2025-03-21T14:26:42Z | 7271243 | 811372863 |
 | 2025-03-21T14:47:46Z | 7175405 | 818452430 |

 [This section is automatically updated]
+- **Total Instances:** 818974193
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-03-21T14:11:36Z
+- **Last Updated:** 2025-03-22T02:55:55Z
 ### Data Distribution
+- Tweets with hashtags: 14.25%
+- Tweets without hashtags: 85.75%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (4329036)
 2. #tiktok (2052274)
 3. #zelena (1819555)
 4. #boi (1415722)
 | 2025-03-21T03:38:03Z | 9574330 | 806404707 |
 | 2025-03-21T14:26:42Z | 7271243 | 811372863 |
 | 2025-03-21T14:47:46Z | 7175405 | 818452430 |
+| 2025-03-22T02:55:54Z | 7697168 | 826671361 |