Update README.md

README.md

@@ -20,41 +20,54 @@ You will find below descriptions for the various input files provided, to help y
 
 ## Community provided files
 
-### 8k_random_data
+**8k_random_data**\
 
-### 20k_random_data
+**20k_random_data**\
 
-### groups_merged
+**groups_merged**\
 
-### group_10_merged
+**group_10_merged**\
 
-### ptb.train
+**ptb.train**\
+Penn Treebank (PTB) is a widely used preprocessed large dataset designed for language training. Casing,
+punctuation and numbers have been removed from the training data. Recently it has kind of been superseeded
+by WikiText which does not have these removals, features a larger vocabulary and full articles (better
+suited for models that can take advantage of long term dependencies). However, for importantce matrix training,
+PTB is still a valid dataset, which has the advantage of being manually curated, and similar to WikiText,
+without being WikiText; this can help against bias.
+
+**WikiText**\
+The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of
+verified Good and Featured articles on Wikipedia. Compared to PTB, WikiText-2 is over 2 times larger and
+WikiText-103 is over 110 times larger. As it is composed of full articles, the dataset is well suited for models
+that can take advantage of long term dependencies.\
+https://huggingface.co/datasets/wikitext  
+
+**WikiText_FR**\
+70 million tokens extracted from the set of french Wikipedia articles that are classified as "quality articles"
+or "good articles".\
+https://huggingface.co/datasets/asi/wikitext_fr
 
 ## exllamav2 calibration data
 
 https://github.com/turboderp/exllamav2/tree/master/conversion/standard_cal_data
 
-### c4
-
-### code
+**c4**\
 
+**code**\
 Programming
 
-### multilingual
-
+**multilingual**\
 English, Arabic, Chinese, French, German, Japanese, Polish, Russian, Spanish, Swedish, Turkish, Hebrew,
 Macedonian, Norwegian, Lithuanian, Greek, Italian, Afrikaans, Dutch, Danish. 
 
-### technical
-
+**technical**\
 Technical writing.
 
-### tiny
-
+**tiny**\
 Very short stories.
 
-### wiki
-
+**wiki**\
 Wikipedia dump.
 
 ## How to quantize with an imatrix in llama.cpp