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 14

Commit

7fcf1f4

·

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1 Parent(s): abeeb0a

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:** 599098265
-- **Date Range:** 2024-12-24T02:00:00Z to 2025-03-13T01:06:28Z
-- **Last Updated:** 2025-03-13T15:39:52Z
 ### Data Distribution
-- Tweets with hashtags: 13.90%
-- Tweets without hashtags: 86.10%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
-1. #riyadh (3382703)
-2. #tiktok (1213971)
 3. #zelena (1082844)
 4. #namtanfilm1stfmd1 (754731)
 5. #thameposeriesfinalep (598138)
@@ -230,4 +230,5 @@ For full statistics, please refer to the `stats.json` file in the repository.
 | 2025-03-13T01:16:29Z | 7052573 | 589190829 |
 | 2025-03-13T14:45:23Z | 8177771 | 598493798 |
 | 2025-03-13T15:39:52Z | 8782238 | 607880503 |

 [This section is automatically updated]
+- **Total Instances:** 608090384
+- **Date Range:** 2024-12-24T02:00:00Z to 2025-03-13T15:27:51Z
+- **Last Updated:** 2025-03-14T03:28:35Z
 ### Data Distribution
+- Tweets with hashtags: 14.13%
+- Tweets without hashtags: 85.87%
 ### Top 10 Hashtags
 For full statistics, please refer to the `stats.json` file in the repository.
+1. #riyadh (3404800)
+2. #tiktok (1222990)
 3. #zelena (1082844)
 4. #namtanfilm1stfmd1 (754731)
 5. #thameposeriesfinalep (598138)
 | 2025-03-13T01:16:29Z | 7052573 | 589190829 |
 | 2025-03-13T14:45:23Z | 8177771 | 598493798 |
 | 2025-03-13T15:39:52Z | 8782238 | 607880503 |
+| 2025-03-14T03:28:34Z | 8992119 | 617082503 |