From 2469b1eb95d5e4bd92336fd9ae6df47144e3aa99 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E8=A5=BF=E8=A5=BF=E5=98=9B=E5=91=A6?= <461600371@qq.com>
Date: Wed, 15 Jun 2022 12:20:27 +0800
Subject: [PATCH] Update preprocess.py

---
 preprocess.py | 27 ++++++++++++++++++++++++---
 1 file changed, 24 insertions(+), 3 deletions(-)

diff --git a/preprocess.py b/preprocess.py
index 5baa489..8182352 100644
--- a/preprocess.py
+++ b/preprocess.py
@@ -213,9 +213,9 @@ def save_file(filename, data ,id2ent):
 
 if __name__ == '__main__':
 
-    dataset = "c"
+    dataset = "chip"
     args = config.Args().get_parser()
-    args.bert_dir = '../model_hub/bert-base-chinese/'
+    args.bert_dir = '../model_hub/chinese-bert-wwm-ext/'
     commonUtils.set_logger(os.path.join(args.log_dir, 'preprocess.log'))
 
     if dataset == "c":
@@ -237,4 +237,25 @@ def save_file(filename, data ,id2ent):
         train_data = get_data(processor, mid_data_path, "train.json", "train", ent2id, labels, args)
         save_file(os.path.join(mid_data_path,"cner_{}_cut.txt".format(args.max_seq_len)), train_data, id2ent)
         dev_data = get_data(processor, mid_data_path, "dev.json", "dev", ent2id, labels, args)
-        test_data = get_data(processor, mid_data_path, "test.json", "test", ent2id, labels, args)
\ No newline at end of file
+        test_data = get_data(processor, mid_data_path, "test.json", "test", ent2id, labels, args)
+
+    elif dataset == "chip":
+        args.data_dir = './data/CHIP2020'
+        args.max_seq_len = 150
+
+        labels_path = os.path.join(args.data_dir, 'mid_data', 'labels.json')
+        with open(labels_path, 'r') as fp:
+            labels = json.load(fp)
+
+        ent2id_path = os.path.join(args.data_dir, 'mid_data')
+        with open(os.path.join(ent2id_path, 'nor_ent2id.json'), encoding='utf-8') as f:
+            ent2id = json.load(f)
+        id2ent = {v: k for k, v in ent2id.items()}
+
+        mid_data_path = os.path.join(args.data_dir, 'mid_data')
+        processor = NerProcessor(cut_sent=True, cut_sent_len=args.max_seq_len)
+
+        train_data = get_data(processor, mid_data_path, "train.json", "train", ent2id, labels, args)
+        save_file(os.path.join(mid_data_path,"chip_{}_cut.txt".format(args.max_seq_len)), train_data, id2ent)
+        dev_data = get_data(processor, mid_data_path, "dev.json", "dev", ent2id, labels, args)
+        # test_data = get_data(processor, mid_data_path, "test.json", "test", ent2id, labels, args)