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Datasets:
RealTimeData
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bbc_news_alltime

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3
  ---
4
 
5
- # BBC for All Times
6
 
7
- You could find BBC News articles every month from 2017-1 to 2024-04.
 
 
8
 
9
- Use this to download BBC News articles during a specific month:
10
  ```
11
- ds = datasets.load_dataset('RealTimeData/bbc_news_alltime', '2017-08')
12
  ```
13
 
14
- The time stamp follows the format of "YYYY-MM".
15
 
16
- # An example
17
 
18
- ```
19
- > ds = datasets.load_dataset('RealTimeData/bbc_alltime', '2023-10', split='train')
20
- > ds[0]
21
- ```
22
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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2468
  ---
2469
 
2470
+ # RealTimeData Monthly Collection - BBC News
2471
 
2472
+ This datasets contains all news articles from BBC News that were created every months from 2017 to current.
2473
+
2474
+ To access articles in a specific month, simple run the following:
2475
 
 
2476
  ```
2477
+ ds = datasets.load_dataset('RealTimeData/bbc_news_alltime', '2020-02')
2478
  ```
2479
 
2480
+ This will give you all BBC news articles that were created in `2020-02`.
2481
 
2482
+ # Want to crawl the data by your own?
2483
 
2484
+ Please head to [LatestEval](https://github.com/liyucheng09/LatestEval/tree/master/data/monthly_updater) for the crawler scripts.
2485
+
2486
+ # Credit
 
2487
 
2488
+ This is resources is created in this AAAI'24 paper: [LatestEval: Addressing data contamination through dynamic and time-sensitive test construction](https://ojs.aaai.org/index.php/AAAI/article/view/29822).
2489
+
2490
+ If you find this collection helpful, please consider cite this paper:
2491
+
2492
+ ```
2493
+ @inproceedings{li2024latesteval,
2494
+ title={Latesteval: Addressing data contamination in language model evaluation through dynamic and time-sensitive test construction},
2495
+ author={Li, Yucheng and Guerin, Frank and Lin, Chenghua},
2496
+ booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
2497
+ volume={38},
2498
+ number={17},
2499
+ pages={18600--18607},
2500
+ year={2024}
2501
+ }
2502
+ ```