Update README.md

README.md

@@ -11,12 +11,9 @@ pretty_name: Filtered CulturaX + Wikipedia for Dutch
 
 # Filtered CulturaX + Wikipedia for Dutch
 
-Warning: there's currently a mismatch between configs. the smallest ones (up to 100M) are counted as white-space tokens, the other ones are counted as tokenized by gemma. In the future, all configs will be based on white-space tokens.
-
-
 This is a combined and filtered version of [CulturaX](https://huggingface.co/datasets/uonlp/CulturaX) and [Wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia), only including Dutch. It is intended for the training of LLMs.
 
-Different configs are available based on the number of tokens (see a section below with an overview). This can be useful if you want to know exactly how many tokens you have. Great for using as a streaming dataset, too. Tokenization is done with the big vocabulary of the `google/gemma-2b` tokenizer so depending on your tokenizer these exact numbers may differ. 
+Different configs are available based on the number of tokens (see a section below with an overview). This can be useful if you want to know exactly how many tokens you have. Great for using as a streaming dataset, too. Tokens are counted as white-space tokens, so depending on your tokenizer, you'll likely end up with more tokens than indicated here. 
 
 Every config also has a test set (for validation) of 1% the total size of the dataset, minimally 1 max. 64k samples (~26M tokens).
 
@@ -161,122 +158,6 @@ BAD_PHRASES_DOC_LEVEL = {
 
 ## Config details
 
-`10k`
-- ratio_wikipedia: 100.00%
-- total_num_tokens: 10,078
-- train_num_tokens: 9,957
-- test_num_tokens: 121
-- total_num_samples: 38
-- train_num_samples: 37
-- test_num_samples: 1
-
-`100k`
-- ratio_wikipedia: 100.00%
-- total_num_tokens: 100,099
-- train_num_tokens: 99,537
-- test_num_tokens: 562
-- total_num_samples: 303
-- train_num_samples: 300
-- test_num_samples: 3
-
-`1M`
-- ratio_wikipedia: 100.00%
-- total_num_tokens: 1,000,104
-- train_num_tokens: 987,432
-- test_num_tokens: 12,672
-- total_num_samples: 2,722
-- train_num_samples: 2,695
-- test_num_samples: 27
-
-`10M`
-- ratio_wikipedia: 100.00%
-- total_num_tokens: 10,000,692
-- train_num_tokens: 9,905,387
-- test_num_tokens: 95,305
-- total_num_samples: 25,641
-- train_num_samples: 25,385
-- test_num_samples: 256
-
-`100M`
-- ratio_wikipedia: 100.00%
-- total_num_tokens: 100,000,049
-- train_num_tokens: 99,022,731
-- test_num_tokens: 977,318
-- total_num_samples: 237,578
-- train_num_samples: 235,203
-- test_num_samples: 2,375
-
-`1B`
-- ratio_wikipedia: 82.38%
-- total_num_tokens: 1,000,000,003
-- train_num_tokens: 990,064,856
-- test_num_tokens: 9,935,147
-- total_num_samples: 2,869,233
-- train_num_samples: 2,840,541
-- test_num_samples: 28,692
-
-`5B`
-- ratio_wikipedia: 35.62%
-- total_num_tokens: 5,000,000,224
-- train_num_tokens: 4,974,586,006
-- test_num_tokens: 25,414,218
-- total_num_samples: 12,603,939
-- train_num_samples: 12,539,939
-- test_num_samples: 64,000
-
-`10B`
-- ratio_wikipedia: 26.86%
-- total_num_tokens: 10,000,000,658
-- train_num_tokens: 9,973,803,589
-- test_num_tokens: 26,197,069
-- total_num_samples: 24,628,921
-- train_num_samples: 24,564,921
-- test_num_samples: 64,000
-
-`15B`
-- ratio_wikipedia: 23.85%
-- total_num_tokens: 15,000,001,092
-- train_num_tokens: 14,973,654,717
-- test_num_tokens: 26,346,375
-- total_num_samples: 36,653,903
-- train_num_samples: 36,589,903
-- test_num_samples: 64,000
-
-`20B`
-- ratio_wikipedia: 22.32%
-- total_num_tokens: 20,000,000,303
-- train_num_tokens: 19,973,764,973
-- test_num_tokens: 26,235,330
-- total_num_samples: 48,678,883
-- train_num_samples: 48,614,883
-- test_num_samples: 64,000
-
-`25B`
-- ratio_wikipedia: 21.40%
-- total_num_tokens: 25,000,000,737
-- train_num_tokens: 24,973,747,815
-- test_num_tokens: 26,252,922
-- total_num_samples: 60,703,865
-- train_num_samples: 60,639,865
-- test_num_samples: 64,000
-
-`30B`
-- ratio_wikipedia: 20.79%
-- total_num_tokens: 30,000,000,034
-- train_num_tokens: 29,973,830,841
-- test_num_tokens: 26,169,193
-- total_num_samples: 72,728,846
-- train_num_samples: 72,664,846
-- test_num_samples: 64,000
-
-`35B`
-- ratio_wikipedia: 20.35%
-- total_num_tokens: 35,000,000,468
-- train_num_tokens: 34,973,480,399
-- test_num_tokens: 26,520,069
-- total_num_samples: 84,753,828
-- train_num_samples: 84,689,828
-- test_num_samples: 64,000
 
 ## License information