Delete division.py

division.py

@@ -1,62 +0,0 @@
-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}")