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 9

Commit

08ed54b

·

verified ·

1 Parent(s): 3a1b5bc

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:** 506661998
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-03-08T09:11:15Z
-- **Last Updated:** 2025-03-09T07:39:31Z
 ### Data Distribution
-- Tweets with hashtags: 14.37%
-- Tweets without hashtags: 85.63%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (2804499)
 2. #zelena (916607)
 3. #tiktok (846274)
 4. #perfect10linersep16 (464265)
@@ -218,4 +218,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-03-07T09:11:14Z | 8646751 | 500405953 |
 | 2025-03-07T19:59:55Z | 6808197 | 505375596 |
 | 2025-03-09T07:39:31Z | 8094599 | 514756597 |

 [This section is automatically updated]
+- **Total Instances:** 514928463
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-03-08T22:36:55Z
+- **Last Updated:** 2025-03-09T09:33:11Z
 ### Data Distribution
+- Tweets with hashtags: 15.05%
+- Tweets without hashtags: 84.95%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (2847255)
 2. #zelena (916607)
 3. #tiktok (846274)
 4. #perfect10linersep16 (464265)
 | 2025-03-07T09:11:14Z | 8646751 | 500405953 |
 | 2025-03-07T19:59:55Z | 6808197 | 505375596 |
 | 2025-03-09T07:39:31Z | 8094599 | 514756597 |
+| 2025-03-09T09:33:10Z | 8266465 | 523194928 |