Upload data

experiment 2/evaluation/evaluation scores/only 3 models/add_eval_results_from_previous_step.py

@@ -0,0 +1,28 @@
+import pandas as pd
+
+# === Fichiers
+csv_source = "../../../experiment 1/evaluation scores/generated_translations_evaluation_data_all_methods_bleurt.csv"
+csv_target = "generated_translations_evaluation_data_3_finetuned_models_bleurt.csv"
+output_csv = "generated_translations_evaluation_data_all_finetuned_models_bleurt.csv"
+
+# === Paires (colonne source → nouveau nom)
+colonnes_a_ajouter = {
+    "bleurt_crampon_generated_translation_megalaa_finetune": "bleurt_crampon_generated_translation_megalaa",
+    "bleurt_segond_generated_translation_megalaa_finetune": "bleurt_segond_generated_translation_megalaa",
+    "bleurt_darby_generated_translation_megalaa_finetune": "bleurt_darby_generated_translation_megalaa",
+}
+
+# === Chargement
+df_source = pd.read_csv(csv_source)
+df_target = pd.read_csv(csv_target)
+
+# === Copie des colonnes avec renommage
+for col_source, col_nouveau in colonnes_a_ajouter.items():
+    if col_source not in df_source.columns:
+        raise ValueError(f"❌ Colonne absente dans source : {col_source}")
+    df_target[col_nouveau] = df_source[col_source]
+    print(f"✅ Colonne copiée : {col_source} → {col_nouveau}")
+
+# === Sauvegarde
+df_target.to_csv(output_csv, index=False)
+print(f"\n💾 Fichier final sauvegardé : {output_csv}")

experiment 2/evaluation/evaluation scores/summary_best_model_per_metric.csv

@@ -0,0 +1,5 @@
+model,bertscore,bleurt,comet,meteor
+translation_hiero,0.8319,0.4983,0.6808,0.5005
+translation_megalaa,0.8202,0.4023,0.6132,0.4668
+translation_opus,0.8499 🏆,0.5643 🏆,0.7306 🏆,0.5625 🏆
+translation_t5,0.7631,0.2404,0.4735,0.3254