Development: From RAG, Sentence Classification, Tense Classification, Python Scripts, Bash Scripts and Everything In Between#92
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Brinkley97 merged 159 commits intomainfrom Mar 2, 2026
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+ updated with dataset package as well
**Goal:** Give a higher priority to keywords during sparse retrieval:
- TF: additional params are a dict of keyword_to_score: {"prediction": 7, "remain": 2, "stable": 8}
- IDF: compute IDF normally, then - score from TF
+ May put into my framework of vector_stores.py
+ Dr. Grant told me to look into query/term reweighting
1. BM25Okapi 2. LdaModel None works due to import issues
Rag: Multiple approaches
+ Updated DatasetDict (saving and loading) + More train data + Modular approach to load data
+ Subset of my generated data + Subset of Financial PhraseBank
…tion_properties.py
…file and not new file
…nancial phrasebank
…datasets 3 Datasets 1. chronicle2050 2. financial phrasebank 3. sythetic
Added "temperature"," top p", and "generated at" columns to predictions dataframe
Brinkley97
changed the title
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