
for context, deserialize the json into Node classes from: https://gist.github.com/UmarZein/4c46bc42323d0f61bd3494dec48f3fa4

the difference between this dataset and https://huggingface.co/datasets/umarzein/wikipedia-headings-20k is that this one is 
more compact i.e.: the column `rootwards` is distinct so it saves space but you have to parse the json first
size_categories:1K<n<10K license:cc-by-3.0 region:us
{"license": "cc-by-3.0", "size_categories": ["1K<n<10K"]}
TAGS
#size_categories-1K<n<10K #license-cc-by-3.0 #region-us 


for context, deserialize the json into Node classes from: URL

the difference between this dataset and URL is that this one is 
more compact i.e.: the column 'rootwards' is distinct so it saves space but you have to parse the json first
TAGS
#size_categories-1K<n<10K #license-cc-by-3.0 #region-us 

passage: TAGS
#size_categories-1K<n<10K #license-cc-by-3.0 #region-us 
