init

data/train.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:82446ec2cb00f4d66ad37b699a404b5980d366488e49b23a9f55e3dcc3f604af
-size 32277
+oid sha256:88c4c441d96ac0a6065fded94f59a153403a84125b5b17adfa1f3041167063fe
+size 32356

data/valid.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7093b17813ae66c8206d9dcf1a6757376db8811956ee350ea1669a4b2313725b
-size 11205
+oid sha256:0bcf4fe7d80519ace7c49aa558eac0f775413656f3c0fbb5ae01a085db34c6a3
+size 11284

process.py

@@ -63,6 +63,7 @@ def get_data(n_sample: int = 10, v_rate: float = 0.2, n_sample_max: int = 10):
     all_negative_t = {}
     for i in files_scale:
         relation_id = i.split('-')[-1].replace('.txt', '')
+        relation_id = f"{relation_id[:-1]}/{relation_id[-1]}"
         with open(f'{path_answer}/{i}', 'r') as f:
             lines_answer = [l.replace('"', '').split('\t') for l in f.read().split('\n') if not l.startswith('#') and len(l)]
             relation_type = list(set(list(zip(*lines_answer))[-1]))