Datasets:

crumb
/

c4-benchfilter-nano

Tasks:

Text Generation

Modalities:

Formats:

Sub-tasks:

language-modeling

masked-language-modeling

Languages:

Size:

Libraries:

License:

Dataset card Viewer Files Files and versions Community

crumb commited on Oct 22, 2023

Commit

6d705cf

•

1 Parent(s): 03bf2e0

Update README.md

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -34,9 +34,9 @@ The estimated top 10% of highest n-token (mean 3,4,5) overlaps for each of the
 selected benchmark datasets (arc, truthful_qa, hellaswag, mmlu, humaneval) based
 on 1k samples, within the first 3M samples of C4. The top scoring sample
 datasets for each benchmark are then filtered again for top 30% scores and
-combined and exact-match de-duplicated. ~~Then the top 3% scores are removed
 because they likely have exact large n-token matches by chance such as exact
-dates or times that aren't actually relevant to the data.~~ (todo)
 This is meant to fascilitate a high-quality short continuation of pretraining
 for language models.

 selected benchmark datasets (arc, truthful_qa, hellaswag, mmlu, humaneval) based
 on 1k samples, within the first 3M samples of C4. The top scoring sample
 datasets for each benchmark are then filtered again for top 30% scores and
+combined and exact-match de-duplicated. Then the top 3% scores are removed
 because they likely have exact large n-token matches by chance such as exact
+dates or times that aren't actually relevant to the data.
 This is meant to fascilitate a high-quality short continuation of pretraining
 for language models.