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c4 ennoblocklist cache
13856fd
Starting imdb cache
090cc42
meg-huggingface
commited on
Changing cache naming scheme to make consistent.
cb64f9a
meg-huggingface
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Hate speech cache
201f0a7
More flexibility in specifying cache directory.
101aa18
meg-huggingface
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Scripts to generate cache
db74ba9
meg-huggingface
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Standardizing filenaming a bit.
0803ab3
meg-huggingface
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More modularizing; npmi and labels
a2ae370
meg-huggingface
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Some additional modularizing and caching of the text lengths widget
335424f
meg-huggingface
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Modularization and caching of text length widget
85cf91c
meg-huggingface
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Removes extraneous debugging print statements
6a9c993
meg-huggingface
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Missing a dependency; adding to requirements.txt
6557527
meg-huggingface
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Begins modularizing so that each widget can be independently loaded without having a requirement on the ordering of load_or_preparing in app.py. This means that each function corresponding to a widget will check if the variables it depends on have been calculated yet. If not, it will call back to calculate them. Because of the messiness this causes with passing the use_cache variable around, I've now set use_cache as a global variable, set when the DatasetStatisticsCacheClass is initialized, and removed the use_cache arguments appearing in nearly every function.
4b53042
meg-huggingface
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Removing need to keep around base dset for the header widget; now just saving what is shown -- the first n lines of the base dataset -- as a json, and loading if it's cached.
66693d5
meg-huggingface
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Removing any need for a dataframe in expander_general_stats; instead making sure to cache and load the small amount of details needed for this widget. Note I also moved around a couple functions -- same content, just moved -- so that it was easier for me to navigate through the code. I also pulled out a couple of sub-functions from larger functions, again to make the code easier to work with/understand, as well as helping to further modularize so we can limit what needs to be cached.
e1f2cc3
meg-huggingface
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Splitting prepare_dataset into preparing the base dataset, and the tokenized dataset. This will help us to have further control over caching and loading data, eventually removing the storage of base dataset.
6af9ef6
meg-huggingface
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Updating NLTK requirements due to vulnerability in versions below 3.6.4: contained an inefficient Regular Expression and is vulnerable to regular expression denial of service attacks
937841c
meg-huggingface
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Continuing cache minimizing in new repository. Please see https://github.com/huggingface/DataMeasurements for full history
d8ab532
meg-huggingface
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:art: add line to file to bump ci
7c5b4e0
yourusername
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hate speech18 cache
976b82a
meg-huggingface
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hate speech 18 pmi file cache
6508f0b
meg-huggingface
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Test to push up a simple cache file
14dcacc
meg-huggingface
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:construction_worker: update CI to rebase
6dec358
yourusername
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:bug: filter_vocab -> filter_words
78cc3f9
yourusername
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:bug: really make sure log_files/ exists
e1cd6af
yourusername
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:bug: add log_files dir if not exists
c070f8c
yourusername
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:rocket: add app
e88b792
yourusername
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:rocket: add app and reqs
64a1ca0
yourusername
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:construction_worker: add CI
3c3199f
yourusername
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:bug: remove line added by CoPilot
3f4a261
yourusername
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:memo: add README.md
07eebf0
yourusername
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:tada: init
9b51db9
yourusername
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Initial commit
b9430ed
unverified
Yacine Jernite
commited on