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- path: 2019-06/train-*
2236
- - config_name: 2019-07
2237
- data_files:
2238
- - split: train
2239
- path: 2019-07/train-*
2240
- - config_name: 2019-08
2241
- data_files:
2242
- - split: train
2243
- path: 2019-08/train-*
2244
- - config_name: 2019-09
2245
- data_files:
2246
- - split: train
2247
- path: 2019-09/train-*
2248
- - config_name: 2019-10
2249
- data_files:
2250
- - split: train
2251
- path: 2019-10/train-*
2252
- - config_name: 2019-11
2253
- data_files:
2254
- - split: train
2255
- path: 2019-11/train-*
2256
- - config_name: 2019-12
2257
- data_files:
2258
- - split: train
2259
- path: 2019-12/train-*
2260
- - config_name: 2020-01
2261
- data_files:
2262
- - split: train
2263
- path: 2020-01/train-*
2264
- - config_name: 2020-02
2265
- data_files:
2266
- - split: train
2267
- path: 2020-02/train-*
2268
- - config_name: 2020-03
2269
- data_files:
2270
- - split: train
2271
- path: 2020-03/train-*
2272
- - config_name: 2020-04
2273
- data_files:
2274
- - split: train
2275
- path: 2020-04/train-*
2276
- - config_name: 2020-05
2277
- data_files:
2278
- - split: train
2279
- path: 2020-05/train-*
2280
- - config_name: 2020-06
2281
- data_files:
2282
- - split: train
2283
- path: 2020-06/train-*
2284
- - config_name: 2020-07
2285
- data_files:
2286
- - split: train
2287
- path: 2020-07/train-*
2288
- - config_name: 2020-08
2289
- data_files:
2290
- - split: train
2291
- path: 2020-08/train-*
2292
- - config_name: 2020-09
2293
- data_files:
2294
- - split: train
2295
- path: 2020-09/train-*
2296
- - config_name: 2020-10
2297
- data_files:
2298
- - split: train
2299
- path: 2020-10/train-*
2300
- - config_name: 2020-11
2301
- data_files:
2302
- - split: train
2303
- path: 2020-11/train-*
2304
- - config_name: 2020-12
2305
- data_files:
2306
- - split: train
2307
- path: 2020-12/train-*
2308
- - config_name: 2021-01
2309
- data_files:
2310
- - split: train
2311
- path: 2021-01/train-*
2312
- - config_name: 2021-02
2313
- data_files:
2314
- - split: train
2315
- path: 2021-02/train-*
2316
- - config_name: 2021-03
2317
- data_files:
2318
- - split: train
2319
- path: 2021-03/train-*
2320
- - config_name: 2021-04
2321
- data_files:
2322
- - split: train
2323
- path: 2021-04/train-*
2324
- - config_name: 2021-05
2325
- data_files:
2326
- - split: train
2327
- path: 2021-05/train-*
2328
- - config_name: 2021-06
2329
- data_files:
2330
- - split: train
2331
- path: 2021-06/train-*
2332
- - config_name: 2021-07
2333
- data_files:
2334
- - split: train
2335
- path: 2021-07/train-*
2336
- - config_name: 2021-08
2337
- data_files:
2338
- - split: train
2339
- path: 2021-08/train-*
2340
- - config_name: 2021-09
2341
- data_files:
2342
- - split: train
2343
- path: 2021-09/train-*
2344
- - config_name: 2021-10
2345
- data_files:
2346
- - split: train
2347
- path: 2021-10/train-*
2348
- - config_name: 2021-11
2349
- data_files:
2350
- - split: train
2351
- path: 2021-11/train-*
2352
- - config_name: 2021-12
2353
- data_files:
2354
- - split: train
2355
- path: 2021-12/train-*
2356
- - config_name: 2022-01
2357
- data_files:
2358
- - split: train
2359
- path: 2022-01/train-*
2360
- - config_name: 2022-02
2361
- data_files:
2362
- - split: train
2363
- path: 2022-02/train-*
2364
- - config_name: 2022-03
2365
- data_files:
2366
- - split: train
2367
- path: 2022-03/train-*
2368
- - config_name: 2022-04
2369
- data_files:
2370
- - split: train
2371
- path: 2022-04/train-*
2372
- - config_name: 2022-05
2373
- data_files:
2374
- - split: train
2375
- path: 2022-05/train-*
2376
- - config_name: 2022-06
2377
- data_files:
2378
- - split: train
2379
- path: 2022-06/train-*
2380
- - config_name: 2022-07
2381
- data_files:
2382
- - split: train
2383
- path: 2022-07/train-*
2384
- - config_name: 2022-08
2385
- data_files:
2386
- - split: train
2387
- path: 2022-08/train-*
2388
- - config_name: 2022-09
2389
- data_files:
2390
- - split: train
2391
- path: 2022-09/train-*
2392
- - config_name: 2022-10
2393
- data_files:
2394
- - split: train
2395
- path: 2022-10/train-*
2396
- - config_name: 2022-11
2397
- data_files:
2398
- - split: train
2399
- path: 2022-11/train-*
2400
- - config_name: 2022-12
2401
- data_files:
2402
- - split: train
2403
- path: 2022-12/train-*
2404
- - config_name: 2023-01
2405
- data_files:
2406
- - split: train
2407
- path: 2023-01/train-*
2408
- - config_name: 2023-02
2409
- data_files:
2410
- - split: train
2411
- path: 2023-02/train-*
2412
- - config_name: 2023-03
2413
- data_files:
2414
- - split: train
2415
- path: 2023-03/train-*
2416
- - config_name: 2023-04
2417
- data_files:
2418
- - split: train
2419
- path: 2023-04/train-*
2420
- - config_name: 2023-05
2421
- data_files:
2422
- - split: train
2423
- path: 2023-05/train-*
2424
- - config_name: 2023-06
2425
- data_files:
2426
- - split: train
2427
- path: 2023-06/train-*
2428
- - config_name: 2023-07
2429
- data_files:
2430
- - split: train
2431
- path: 2023-07/train-*
2432
- - config_name: 2023-08
2433
- data_files:
2434
- - split: train
2435
- path: 2023-08/train-*
2436
- - config_name: 2023-09
2437
- data_files:
2438
- - split: train
2439
- path: 2023-09/train-*
2440
- - config_name: 2023-10
2441
- data_files:
2442
- - split: train
2443
- path: 2023-10/train-*
2444
- - config_name: 2023-11
2445
- data_files:
2446
- - split: train
2447
- path: 2023-11/train-*
2448
- - config_name: 2023-12
2449
- data_files:
2450
- - split: train
2451
- path: 2023-12/train-*
2452
- - config_name: 2024-01
2453
- data_files:
2454
- - split: train
2455
- path: 2024-01/train-*
2456
- - config_name: 2024-02
2457
- data_files:
2458
- - split: train
2459
- path: 2024-02/train-*
2460
- - config_name: 2024-03
2461
- data_files:
2462
- - split: train
2463
- path: 2024-03/train-*
2464
- - config_name: 2024-04
2465
- data_files:
2466
- - split: train
2467
- path: 2024-04/train-*
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
- ```
 
1
  ---
2
+ {}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+