add 1000 definitions to training data, train, and save 2nd model version

src/data/vocab.json

@@ -2,1762 +2,1529 @@
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src/model/rellow-2.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a4a07540e4d12ec2919c9ae2004bc523efc5a27da9ec08c9945479a98a3e8e50
+size 14227945

src/prediction.py

@@ -41,7 +41,7 @@ def main():
     model, vocab, inv_vocab = load_model()
     
     # Example usage
-    words = ["carro", "frio", "borracha"]
+    words = ["muito", "grande", "imenso"]
     result = generate_word(words, model, vocab, inv_vocab)
     print(f"Input words: {', '.join(words)}")
     print(f"Generated: {result}")

src/services/data.js

@@ -3,15 +3,15 @@
 const { saveDefinition } = require('./definitions')
 
 const original = [
-  ['interesse,incalculável,destraído', 'incontáveis demonstrações de interesse para alguém que nem sequer as percebe']
+  ['mistura,jipe,triciclo', 'mistura de jipe com triciclo']
 ]
 
-const word = 'fetitude (s.f.)'
+const word = 'adaco (s.m.)'
 
 const similars = [
-  ["curiosidade,infinito,distraído", "multidões de sinais de curiosidade ignorados por quem permanece distraído"],
-  ["atenção,imensurável,desatento", "quantidades imensas de atenção desperdiçadas por um olhar desatento"],
-  ["envolvimento,incontável,alheio", "envolvimento em profusão que passa despercebido por quem está alheio"]
+  ["combinação,veículo,rodas", "veículo híbrido que combina a robustez de um jipe com a estrutura de um triciclo"],
+  ["fusão,picape,triciclo", "fusão mecânica entre um jipe e um triciclo resultando em um meio de transporte excêntrico"],
+  ["mistureba,caminhonete,triciclo", "mistureba motorizada entre um triciclo e um jipe off-road"]
 ]
 
 const wordSet = [ ...original, ...similars ].map(format)

src/services/definitions.js

@@ -5,7 +5,7 @@ const { permute } = require('./permutation');
 const _public = {};
 
 _public.saveDefinition = (words, definition) => {
-  const filepath = path.join(__dirname, '../data/definitions.json');
+  const filepath = path.join(__dirname, '../data/definitions-2.json');
   const definitions = JSON.parse(fs.readFileSync(filepath, 'utf-8'));
   const newDefinitions = {
     ...definitions,

src/services/model.py

@@ -7,7 +7,7 @@ from services.transformer import TinyTransformer
 # Internal constants for file paths
 _MODEL_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), "model")
 _VOCAB_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), "data")
-_MODEL_PATH = os.path.join(_MODEL_DIR, "rellow.pt")
+_MODEL_PATH = os.path.join(_MODEL_DIR, "rellow-2.pt")
 _VOCAB_PATH = os.path.join(_VOCAB_DIR, "vocab.json")
 
 # Internal device selection

src/training.py

@@ -14,7 +14,7 @@ print("Preprocessing...")
 
 # 1.1 Read dataset and store it as json
 cwd = os.path.dirname(__file__)
-file_path = os.path.join(cwd, "data", "definitions.json")
+file_path = os.path.join(cwd, "data", "definitions-2.json")
 with open(file_path, "r", encoding="utf-8") as f:
   data = json.load(f)
 print("Data loaded!")