diff --git a/code/config_global_1.2.json b/code/config_global_1.2.json
index 3e93ff20c17c3479d55b7e8cccc84685fe6cd115..0e71493d60e98ecf2192f2a5ef4e43f5966b18d7 100644
--- a/code/config_global_1.2.json
+++ b/code/config_global_1.2.json
@@ -1,10 +1,10 @@
{
- "usecase_description": "Config file for usecase_1 : from a text, get the same text but with EDU bracket.",
+ "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": false
+ "existing_metadata": true
},
"steps":{
"main": "annotation",
@@ -35,7 +35,6 @@
},
"output":{
"file":{
- "json_to_tab": true,
"tab_to_bracket": true,
"conllu":true,
"metadata": true
diff --git a/code/config_global_1.21.json b/code/config_global_1.21.json
new file mode 100644
index 0000000000000000000000000000000000000000..1e8c4a92ea30cea09445fafac64523cf0939d0fa
--- /dev/null
+++ b/code/config_global_1.21.json
@@ -0,0 +1,47 @@
+{
+ "usecase_description": "Config file for usecase_1 : from a tokenized text, get the same text but with EDU bracket.",
+ "data_raw": {
+ "name": "edgar_poe_short",
+ "exte": ".conll",
+ "language": "en",
+ "existing_metadata": true
+ },
+ "steps":{
+ "main": "annotation",
+ "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/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": false,
+ "gold_test_data_path": null
+ },
+ "output":{
+ "file":{
+ "conllu":true,
+ "metadata": true,
+ "tab_to_bracket": false
+ },
+ "scores":false
+ }
+}
+
+
+
diff --git a/code/config_global_3.json b/code/config_global_3.json
index c1efee85638fee908c6c15a36ed4b4766e70d0a9..67d7e8d53299ed707c952c6c0473b3332a95588e 100644
--- a/code/config_global_3.json
+++ b/code/config_global_3.json
@@ -27,6 +27,7 @@
},
"post-processing": {
"json_to_tab": false,
+ "metadata_conll": false,
"tab_to_bracket":false
},
"evaluation": true,
diff --git a/code/discut22_1.py b/code/discut22_1.py
index a65dddd19b03a3326668cf8e20c9ecc3fd9ec551..7a8739bab0a41424bbb12e5d1fe5e3ef5659b622 100644
--- a/code/discut22_1.py
+++ b/code/discut22_1.py
@@ -240,7 +240,7 @@ if __name__ == '__main__':
now = datetime.now()
#stamp = re.sub('[\s:]', '_', str(now))
- stamp = "debug1205"
+ stamp = "_debug1214"
my_logs = {}
my_logs['stamp'] = stamp
diff --git a/code/discut22_2.py b/code/discut22_2.py
index 5fe0218583bbfef724f3af1c27c5182695e7a951..d017ee77c356a7df923b9c399a88b415c9c8fb38 100644
--- a/code/discut22_2.py
+++ b/code/discut22_2.py
@@ -20,6 +20,7 @@ from classes_def_2 import Data, Process, Output
import utils_2.syntactic_parsing as synt_pars
import utils.conv2ner as conv_to_ner # TODO clean it
import utils.json2conll as json_to_connl # TODO clean it
+import utils.training_allennlp as tr_allen
@@ -92,7 +93,7 @@ def make_predictions(data_in, model_path):
model = model_path # add def get_model from v1
data_out = f"{data.resu}/{data.name}_pred.json"
#cmd = f"allennlp predict --use-dataset-reader --output-file {data_out} {model_path} {data_in} &> {steps.data.resu}/logs.txt"
- cmd = f"allennlp predict --use-dataset-reader --output-file {data_out} {model_path} {data_in}" # &> {steps.data.resu}/logs.txt"
+ cmd = f"allennlp predict --use-dataset-reader --output-file {data_out} {model_path} {data_in} &> {steps.data.resu}/logs_predictions.txt"
os.system(cmd)
return data_out
@@ -126,17 +127,24 @@ if __name__ == '__main__':
create_folders([data.conv, data.resu])
data_preprocessed = pre_processing(data, steps)
- #data_preprocessed = "/home/lriviere/andiamo/discut22/data/edgar_poe_short/data_converted_vendredi/edgar_poe_short.conll"
+ #TEST data_preprocessed = "/home/lriviere/andiamo/discut22/data/edgar_poe_short/data_converted_vendredi/edgar_poe_short.conll"
data_ner = data_to_ner_format(data_preprocessed)
- if steps.main == "annotation":
- #data_pred_json = make_predictions(data_ner, steps.model)
- data_pred_json = "/home/lriviere/andiamo/discut22/data/edgar_poe_short/results_vendredi/edgar_poe_short_pred.json"
+ if steps.main == "annotation" or steps.main == "test":
+ data_pred_json = make_predictions(data_ner, steps.model)
+ #data_pred_json = "/home/lriviere/andiamo/discut22/data/edgar_poe_short/results_vendredi/edgar_poe_short_pred.json"
if prod.metadata == True:
data_pred_and_meta_conll = pred_json_to_conll_with_metadata(data_pred_json, data_preprocessed)
else:
data_pred_toke = pred_json_to_toke(data_pred_json)
+ #elif steps.main == "train":
+
+
+
+
+ #scores = compare_pred_gold()
+
#print_logs()
\ No newline at end of file
diff --git a/code/utils/training_allennlp.py b/code/utils/training_allennlp.py
index 65d4dfdb42e4a371c22858534ebefc6ce94038f0..04c3957bae6839a567394251487db7d25ed5f1d4 100644
--- a/code/utils/training_allennlp.py
+++ b/code/utils/training_allennlp.py
@@ -33,9 +33,18 @@ def main(steps):
#### train, has_per == False
# allennlp train -s Results_${CONFIG}/results_${OUTPUT} ${CODE}configs/${MODEL}.jsonnet --include-package allen_custom.custom_conll_reader --include-package allen_custom.custom_simple_tagger --include-package allen_custom.custom_disrpt_reader --include-package allen_custom.custom_bert_token_embedder
# allennlp train -s Resultts_conllu/results_eng.rst.rstdt_bert ../code/utils/configs/bert.jsonnet ....
+
+ # Dicut- repo morteza
+ #allennlp train -s Results_${CONFIG}/results_${OUTPUT} ${CODE}configs/bert.jsonnet
+ cmd2 = f"allennlp train -s {steps.data.resu} {tr_config}"
+
+ # Discut-gitlab
cmd = f"allennlp train -s {steps.data.resu} {tr_config} --include-package allen_custom.custom_conll_reader --include-package allen_custom.custom_simple_tagger --include-package allen_custom.custom_disrpt_reader --include-package allen_custom.custom_bert_token_embedder"
- print(cmd)
- os.system(cmd)
+
+
+
+ print(cmd2)
+ os.system(cmd2)
# then...
# TODO: