Adding links to readme

README.md

@@ -3,13 +3,15 @@ license: cc-by-sa-4.0
 language:
 - en
 size_categories:
-- 10B<n<100B
+- 10M<n<100M
 ---
 
 # Dataset Summary
-Paragraph embeddings for every article in English Wikipedia (not the Simple English version). Based on wikimedia/wikipedia, 20231101.en.
+Paragraph embeddings for every article in English Wikipedia (not the Simple English version). 
+Based on [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia), 20231101.en.
 
-Embeddings were generated with avsolatorio/GIST-small-Embedding-v0 and are quantized to int8.
+Embeddings were generated with [avsolatorio/GIST-small-Embedding-v0](https://huggingface.co/avsolatorio/GIST-small-Embedding-v0)
+and are quantized to int8.
 
 You can load the data with the following:
 
@@ -18,9 +20,12 @@ from datasets import load_dataset
 
 ds = load_dataset(path="Abrak/wikipedia-paragraph-embeddings-en-gist-complete", data-dir="20231101.en")
 ```
+
 # Dataset Structure
 
-The structure of the dataset is designed to use minimal storage space.
+The structure of the dataset is designed to minimize necessary storage and calculations 
+but still cover the breadth of Wikipedia.
+
 ## Data instances
 
 An example looks as follows:
@@ -38,10 +43,12 @@ of the paragraphs in the article. These are not left-padded.
 # Details
 ## Source Data
 The data is sourced directly from the wikimedia/wikipedia dataset, in the 20231101.en directory.
-This is English-language article text content, stripped of formatting and other content that is not language.
+This is English-language article text content, taken from a snapshot on November 1, 2023.
+The source data was already stripped of formatting and other content that is not language. 
 See the [wikimedia/wikipedia model card](https://huggingface.co/datasets/wikimedia/wikipedia) for more information.
 
-Article text was split into paragraphs on two newlines (`\n\n`).
+As part of this dataset's processing, article text was split into paragraphs on two newlines (`\n\n`).
+
 ## Embedding Calculation
 Embeddings were calculated in batches of 1300 paragraphs with sentence_transformers and the unquantized 
 GIST-small-Embedding-v0 model. Precision was set to int8. Complete processing took about 20 hours on an
@@ -53,4 +60,4 @@ in the Github repo for my project, [The Archive](https://github.com/abrakjamson/
 These embeddings are a derivative of Wikipedia article text, which is under [CC-BY-SA-4.0](https://en.wikipedia.org/wiki/Wikipedia:Text_of_the_Creative_Commons_Attribution-ShareAlike_4.0_International_License),
 a copyleft license, as well as [GFDL](https://en.wikipedia.org/wiki/Wikipedia:Text_of_the_GNU_Free_Documentation_License).
 These embeddings inherit the same licenses. See the [Wikipedia Copyrights page](https://en.wikipedia.org/wiki/Wikipedia:Copyrights)
-for details.
+for details.