diff --git a/code/config_global_1.1.json b/code/config_global_1.1.json
new file mode 100644
index 0000000000000000000000000000000000000000..f0b5843e059dc39d4bfa94007c727f563cd45f56
--- /dev/null
+++ b/code/config_global_1.1.json
@@ -0,0 +1,50 @@
+{
+    "usecase_description": "Config file for usecase_1 : from a raw text, get the same text but with EDU bracket.",
+    "data_raw": {
+        "name": "edgar_poe_en",
+        "exte": ".txt",
+        "language": "en",
+        "existing_metadata": true
+    },
+    "steps":{
+        "main": "annotation",
+        "pre-processing": {
+            "to_do": true,
+            "syntactic_tool": "stanza",
+            "sentence_split": true,
+            "tokenization": true,
+            "syntactic_parsing": false,
+            "create_metadata": {
+                "to_do": true,
+                "line": "paragraph",
+                "sent": "sent"
+            }
+        },
+        "discourse_segmenter": {
+            "model": "/home/lriviere/andiamo/discut/Results_conllu/results_eng.rst.gum-eng_bert/model.tar.gz",
+            "training": {
+                "toolkit": null,
+                "pre_trained_lm": null,
+                "config_file": null,
+                "train_data_path": null,
+                "validation_data_path": null
+            }
+        },
+        "evaluation": true,
+        "gold_test_data_path": null
+    },
+    "output":{
+        "conll_file":{
+            "to_do": true,
+            "metadata": true,
+            "with_gold_labels": false
+        },
+        "txt_file":{
+            "to_do": false,
+            "metadata": true
+        }
+    }
+}
+
+
+
diff --git a/code/config_global_2.json b/code/config_global_2.json
new file mode 100644
index 0000000000000000000000000000000000000000..988e706f2314ba8f1c68d6b3531ad75b7d5bcf60
--- /dev/null
+++ b/code/config_global_2.json
@@ -0,0 +1,50 @@
+{
+    "usecase_description": "Config file for usecase_2 : from a gold text, make predictions with an existing model, compare gold and predictions with metrics.",
+    "data_raw": {
+        "name": "eng.pdtb.pdtb_dev",
+        "exte": ".conllu",
+        "language": "en",
+        "existing_metadata": true
+    },
+    "steps":{
+        "main": "test",
+        "pre-processing": {
+            "to_do": false,
+            "syntactic_tool": "stanza",
+            "sentence_split": true,
+            "tokenization": true,
+            "syntactic_parsing": true,
+            "create_metadata": {
+                "to_do": true,
+                "line": "paragraph",
+                "sent": "sent"
+            }
+        },
+        "discourse_segmenter": {
+            "model": "/home/lriviere/andiamo/morteza/discut/Results_conllu/results_eng.pdtb.pdtb_bert/model.tar.gz",
+            "training": {
+                "toolkit": null,
+                "pre_trained_lm": null,
+                "config_file": null,
+                "train_data_path": null,
+                "validation_data_path": null
+            }
+        },
+        "evaluation": true,
+        "gold_test_data_path": null
+    },
+    "output":{
+        "conll_file":{
+            "to_do": true,
+            "metadata": true,
+            "with_gold_labels": true
+        },
+        "txt_file":{
+            "to_do": true,
+            "metadata": true
+        }
+    }
+}
+
+
+