diff --git a/README.md b/README.md
index 0575190aa91d6135f50f82e01a23345665d6b8f7..ec7a9a9eb1fd83a24fe4138544f97db61e0e8c93 100644
--- a/README.md
+++ b/README.md
@@ -41,7 +41,7 @@ pip install -r requirements.txt
```
## Configuration file: to chose or to complete
-- `code/config_1.json` Config for usecase_1 : take a sentence splited text, apply ToNy, output same text but with EDU brackets.
+- `code/config_global_X.json` See global_config_file_guideline.md.
## Run usecase 1
diff --git a/code/config_1.json b/code/config_1.json
deleted file mode 100644
index d8a166e03700d76c5ac47d6c43d385d4616968d7..0000000000000000000000000000000000000000
--- a/code/config_1.json
+++ /dev/null
@@ -1,34 +0,0 @@
-{
- "usecase_description": "Config file for usecase_1 : from a text, get the same text but with EDU bracket using ToNy segmenter.",
- "input": {
- "name": "chaperontest",
- "file": ".ss",
- "folder_path": "../data/chaperontest",
- "format": "raw_sentences",
- "language": "fr",
- "gold": false
- },
- "output": {
- "format": "bracket",
- "framework": "sdrt"
- },
- "steps":{
- "main": "annotation",
- "pre-processing": {
- "tokenization": false,
- "sentence_split": false,
- "sentence_split_splitor": false,
- "syntactic_parsing": false,
- "NER_format_initialisation": false
- },
- "discourse_segmenter": {
- "model": "tony"
- },
- "post-processing": {
- "json_to_tab": true,
- "tab_to_bracket":false
- },
- "evaluation": false
- }
-}
-
diff --git a/code/config_1_fanny.json b/code/config_1_fanny.json
deleted file mode 100644
index eae1fa0c89a1987df331f74a0129da3140b02c57..0000000000000000000000000000000000000000
--- a/code/config_1_fanny.json
+++ /dev/null
@@ -1,43 +0,0 @@
-{
- "usecase_description": "Config file for usecase_1 : from a text, get the same text but with EDU using an existing model.",
- "input": {
- "name": "chaperontest",
- "file": ".ss",
- "folder_path": "../data/chaperontest",
- "format": "truc",
- "language": "fr",
- "gold": true
- },
- "output": {
- "format": "ner_tok",
- "framework": "rst"
- },
- "steps":{
- "main": "annotation",
- "pre-processing": {
- "tokenization": true,
- "sentence_split": false,
- "sentence_split_splitor": "stanza",
- "syntactic_parsing": false,
- "NER_format_initialisation": true
- },
- "discourse_segmenter": {
- "model": "tony",
- "training": {
- "toolkit": null,
- "pre_trained_lm": null,
- "config_file": null,
- "train_data_path": null,
- "validation_data_path": null
- }
- },
- "post-processing": {
- "json_to_tab": true,
- "tab_to_bracket": true
- },
- "evaluation": false,
- "gold_test_data_path": null
- }
-}
-
-
diff --git a/code/config_2.json b/code/config_2.json
deleted file mode 100644
index a8334462ffa8e651457dd6ece221c3b13c135a22..0000000000000000000000000000000000000000
--- a/code/config_2.json
+++ /dev/null
@@ -1,35 +0,0 @@
-{
- "usecase_description": "Config file for usecase_2 : Take a EDU gold segmented text au format tok as input, use a loaded model to make predictions. Output scores of model predictions against gold, and output discrepancies. To start, we evaluate tony on annodis dev set.",
- "input": {
- "name": "fra.sdrt.annodis_dev",
- "file": ".ttok",
- "folder_path": "../data/fra.sdrt.annodis_dev",
- "format": "truc",
- "language": "fr",
- "gold": true
- },
- "output": {
- "format": "ner_tok",
- "framework": "sdrt"
- },
- "steps":{
- "main": "test",
- "pre-processing": {
- "tokenization": false,
- "sentence_split": true,
- "sentence_split_splitor": "stanza",
- "syntactic_parsing": false,
- "NER_format_initialisation": true
- },
- "discourse_segmenter": {
- "model": "tony"
- },
- "post-processing": {
- "json_to_tab": true,
- "tab_to_bracket":false
- },
- "evaluation": true
- }
-}
-
-
diff --git a/code/config_3.json b/code/config_3.json
deleted file mode 100644
index 67b6262a132371d381d63d65d34dc95d5efe9f36..0000000000000000000000000000000000000000
--- a/code/config_3.json
+++ /dev/null
@@ -1,36 +0,0 @@
-{
- "usecase_description": "Config file for usecase_2.2 : Take a EDU gold segmented text au format conll as input, use a loaded model to make predictions. Output scores of model predictions against gold, and output discrepancies. To start, we evaluate tony on annodis dev set.",
- "input": {
- "name": "fra.sdrt.annodis_dev",
- "file": ".conllu",
- "file_options": [".conllu", ".tok"],
- "folder_path": "../data/fra.sdrt.annodis_dev",
- "format": "truc",
- "language": "fr",
- "gold": true
- },
- "output": {
- "format": "ner_tok",
- "framework": "sdrt"
- },
- "steps":{
- "main": "test",
- "pre-processing": {
- "tokenization": false,
- "sentence_split": false,
- "sentence_split_splitor": "stanza",
- "syntactic_parsing": false,
- "NER_format_initialisation": true
- },
- "discourse_segmenter": {
- "model": "tony"
- },
- "post-processing": {
- "json_to_tab": true,
- "tab_to_bracket":false
- },
- "evaluation": true
- }
-}
-
-
diff --git a/code/config_4.json b/code/config_4.json
deleted file mode 100644
index dc1d29fdac4bf41d52b1d4f2fe18670e25a230cc..0000000000000000000000000000000000000000
--- a/code/config_4.json
+++ /dev/null
@@ -1,44 +0,0 @@
-{
- "usecase_description": "Config file for usecase_3 : Take a EDU gold segmented set of train/dev/test of texts au format conll as input, train a model, output scores.",
- "input": {
- "name": "eng.rst.rstdt",
- "file": ".conllu",
- "file_options": [".conllu", ".tok"],
- "folder_path": "../data/eng.rst.rstdt",
- "format": "truc",
- "language": "en",
- "gold": true
- },
- "output": {
- "format": "ner_tok",
- "framework": "rst"
- },
- "steps":{
- "main": "train",
- "pre-processing": {
- "tokenization": false,
- "sentence_split": false,
- "sentence_split_splitor": "stanza",
- "syntactic_parsing": false,
- "NER_format_initialisation": true
- },
- "discourse_segmenter": {
- "model": null,
- "training": {
- "toolkit": "allennlp",
- "pre_trained_lm": "bert",
- "config_file": "../model/config_training.jsonnet",
- "train_data_path": "../data/eng.rst.rstdt/eng.rst.rstdt_train.conllu",
- "validation_data_path": "../data/eng.rst.rstdt/eng.rst.rstdt_dev.conllu"
- }
- },
- "post-processing": {
- "json_to_tab": false,
- "tab_to_bracket":false
- },
- "evaluation": true,
- "gold_test_data_path": "../data/eng.rst.rstdt/eng.rst.rstdt_test.conllu"
- }
-}
-
-