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 10

Commit

2e51f09

·

verified ·

1 Parent(s): b94e093

Update dataset card (README.md)

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README.md +7 -6

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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:** 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)
@@ -219,4 +219,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-03-07T19:59:55Z | 6808197 | 505375596 |
 | 2025-03-09T07:39:31Z | 8094599 | 514756597 |
 | 2025-03-09T09:33:10Z | 8266465 | 523194928 |

 [This section is automatically updated]
+- **Total Instances:** 523196464
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-03-09T22:53:38Z
+- **Last Updated:** 2025-03-10T13:20:08Z
 ### Data Distribution
+- Tweets with hashtags: 14.42%
+- Tweets without hashtags: 85.58%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (2884996)
 2. #zelena (916607)
 3. #tiktok (846274)
 4. #perfect10linersep16 (464265)
 | 2025-03-07T19:59:55Z | 6808197 | 505375596 |
 | 2025-03-09T07:39:31Z | 8094599 | 514756597 |
 | 2025-03-09T09:33:10Z | 8266465 | 523194928 |
+| 2025-03-10T13:20:08Z | 8268001 | 531464465 |