Upload division.py

division.py

@@ -0,0 +1,62 @@
+import os
+import json
+from collections import defaultdict
+from transformers import LlamaTokenizer
+from tqdm import tqdm
+
+input_json_file = '/Users/liyu/PycharmProjects/CoTKR/updated.json'
+output_dir = '/Users/liyu/PycharmProjects/CoTKR/output'
+os.makedirs(output_dir, exist_ok=True)
+
+model_path = '/Users/liyu/PycharmProjects/CoTKR/Llama-2-7b-hf'
+
+tokenizer = LlamaTokenizer.from_pretrained(model_path)
+
+with open(input_json_file, 'r') as f:
+    triples = json.load(f)
+
+grouped_entity_triples = defaultdict(list)
+for triple in triples:
+    subj, relation, obj = triple
+    grouped_entity_triples[subj].append(f"{relation}: {obj}")
+
+# 根据Tokenizer的长度限制创建段落
+def create_paragraphs(subj, relations, tokenizer, max_tokens=512):
+    paragraphs = []
+    current_chunk = []
+    current_tokens = 0
+
+    for relation in relations:
+
+        tokens_in_relation = len(tokenizer.encode(relation, add_special_tokens=False))
+
+
+        if current_tokens + tokens_in_relation + 1 > max_tokens:  # +1考虑分隔符或空格
+            paragraphs.append({
+                "title": f"{subj}",
+                "contents": ", ".join(current_chunk).strip()
+            })
+            current_chunk = [relation]
+            current_tokens = tokens_in_relation
+        else:
+            current_chunk.append(relation)
+            current_tokens += tokens_in_relation + 1  # +1考虑分隔符或空格
+
+    if current_chunk:
+        paragraphs.append({
+            "title": f"{subj}",
+            "contents": ", ".join(current_chunk).strip()
+        })
+
+    return paragraphs
+
+all_paragraphs = []
+for subj, relations in tqdm(grouped_entity_triples.items(), desc="Processing subjects", unit="subject"):
+    paragraphs = create_paragraphs(subj, relations, tokenizer)
+    all_paragraphs.extend(paragraphs)
+
+output_file = os.path.join(output_dir, 'new_triple_processed.json')
+with open(output_file, 'w') as out_f:
+    json.dump(all_paragraphs, out_f, ensure_ascii=False, indent=4)
+
+# print(f"Processed paragraphs saved to {output_file}")