Update README.md

README.md

@@ -16,7 +16,32 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc
+task_categories:
+- translation
+- summarization
+language:
+- 'no'
+- nb
+- en
+pretty_name: Massive EN-NO shorter transfer
+size_categories:
+- 100K<n<1M
 ---
-# Dataset Card for "massive-en-no-shorter-transfer"
+# Massive EN-NO shorter and similar transfer
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+A dataset of EN-NO translations comprised of the following sources:
+
+- https://huggingface.co/datasets/opus100
+- https://huggingface.co/datasets/opus_books
+- https://huggingface.co/datasets/open_subtitles (https://huggingface.co/datasets/tollefj/subtitles-en-no-similar-shorter)
+- https://huggingface.co/datasets/RuterNorway/Fleurs-Alpaca-EN-NO
+
+And parsed by:
+- simple preprocessing: stripping/misplaced punctuation
+- computing all similarities with https://huggingface.co/NbAiLab/nb-sbert-base
+  - effectively aligning the translations
+- filters out where the length of the target language (norwegian) is less than 70% the length of the source language (english)
+  - items with less than 6 words are passed regardless of length constraints
+ 
+this results in a shorter and similar translation corpus.