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 16

Commit

f5f4f54

·

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1 Parent(s): daf4a5e

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:** 1724164023
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-15T08:18:26Z
-- **Last Updated:** 2025-05-15T20:23:32Z
 ### Data Distribution
-- Tweets with hashtags: 14.40%
-- Tweets without hashtags: 85.60%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (17898096)
-2. #tiktok (3424105)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1802624)
@@ -370,4 +370,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-05-14T20:40:12Z | 7350381 | 1715823856 |
 | 2025-05-15T08:29:19Z | 8521746 | 1725516967 |
 | 2025-05-15T20:23:31Z | 7168802 | 1731332825 |

 [This section is automatically updated]
+- **Total Instances:** 1731661750
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-05-15T20:14:09Z
+- **Last Updated:** 2025-05-16T15:27:32Z
 ### Data Distribution
+- Tweets with hashtags: 16.44%
+- Tweets without hashtags: 83.56%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (18050451)
+2. #tiktok (3431351)
 3. #zelena (2554008)
 4. #boi (2088342)
 5. #pr (1802624)
 | 2025-05-14T20:40:12Z | 7350381 | 1715823856 |
 | 2025-05-15T08:29:19Z | 8521746 | 1725516967 |
 | 2025-05-15T20:23:31Z | 7168802 | 1731332825 |
+| 2025-05-16T15:27:32Z | 7497727 | 1739159477 |