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 8

Commit

a2b2319

·

verified ·

1 Parent(s): 732d6c4

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:** 1611968239
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-07T07:03:11Z
-- **Last Updated:** 2025-05-07T19:01:28Z
 ### Data Distribution
-- Tweets with hashtags: 14.98%
-- Tweets without hashtags: 85.02%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (15556176)
-2. #tiktok (3359546)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1762572)
@@ -355,4 +355,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-05-06T17:29:22Z | 5351353 | 1601642127 |
 | 2025-05-07T07:15:23Z | 7867729 | 1612026232 |
 | 2025-05-07T19:01:28Z | 7809736 | 1619777975 |

 [This section is automatically updated]
+- **Total Instances:** 1618973709
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-07T18:48:29Z
+- **Last Updated:** 2025-05-08T09:35:44Z
 ### Data Distribution
+- Tweets with hashtags: 16.76%
+- Tweets without hashtags: 83.24%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (15698410)
+2. #tiktok (3367111)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1762572)
 | 2025-05-06T17:29:22Z | 5351353 | 1601642127 |
 | 2025-05-07T07:15:23Z | 7867729 | 1612026232 |
 | 2025-05-07T19:01:28Z | 7809736 | 1619777975 |
+| 2025-05-08T09:35:43Z | 7005470 | 1625979179 |