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github.com/dheerajrajagopal/SelfExplain @main

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59 symbols 200 edges 14 files 3 documented · 5%
What it actually does AI analysis from the code graph — generated when you open this
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Core symbols most depended-on inside this repo

remove_non_ascii
called by 3
preprocessing/constituency_parse.py
add_indices_to_terminals
called by 2
preprocessing/constituency_parse.py
get_label
called by 2
preprocessing/process_trec_dataset.py
_reshape_tensor
called by 2
model/model_utils.py
forward_classifier
called by 2
model/SE_XLNet.py
train_dataloader
called by 2
model/data.py
chunks
called by 1
preprocessing/utils.py
main
called by 1
preprocessing/add_ngram_dist.py

Shape

Method 34
Function 18
Class 7

Languages

Python100%

Modules by API surface

model/data.py13 symbols
model/SE_XLNet.py12 symbols
preprocessing/constituency_parse.py8 symbols
model/infer_model.py6 symbols
preprocessing/store_parse_trees.py5 symbols
preprocessing/process_trec_dataset.py4 symbols
model/model_utils.py4 symbols
preprocessing/build_concept_store.py2 symbols
model/data_utils.py2 symbols
preprocessing/utils.py1 symbols
preprocessing/add_ngram_dist.py1 symbols
model/run.py1 symbols

For agents

$ claude mcp add SelfExplain \
  -- python -m otcore.mcp_server <graph>

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