diff --git a/q2_1_crawler/movie.html b/q2_1_crawler/movie.html
new file mode 100644
index 0000000..c8a0a99
--- /dev/null
+++ b/q2_1_crawler/movie.html
@@ -0,0 +1,102 @@
+[
+ {
+ "id": "1",
+ "title": "阿甘正传",
+ "director": "Frank Darabont",
+ "year": "2023",
+ "rating": "8.5",
+ "duration": "112",
+ "genre": "科幻",
+ "actors_count": "4"
+ },
+ {
+ "id": "2",
+ "title": "忠犬八公的故事",
+ "director": "陈凯歌",
+ "year": "2023",
+ "rating": "6.9",
+ "duration": "102",
+ "genre": "动画",
+ "actors_count": "4"
+ },
+ {
+ "id": "3",
+ "title": "放牛班的春天",
+ "director": "Robert Zemeckis",
+ "year": "1993",
+ "rating": "7.6",
+ "duration": "175",
+ "genre": "动画",
+ "actors_count": "5"
+ },
+ {
+ "id": "4",
+ "title": "星际穿越",
+ "director": "James Cameron",
+ "year": "2024",
+ "rating": "9.1",
+ "duration": "92",
+ "genre": "喜剧",
+ "actors_count": "5"
+ },
+ {
+ "id": "5",
+ "title": "千与千寻",
+ "director": "宫崎骏",
+ "year": "2007",
+ "rating": "8.3",
+ "duration": "146",
+ "genre": "悬疑",
+ "actors_count": "4"
+ },
+ {
+ "id": "6",
+ "title": "肖申克的救赎",
+ "director": "Christopher Nolan",
+ "year": "1997",
+ "rating": "8.3",
+ "duration": "117",
+ "genre": "爱情",
+ "actors_count": "5"
+ },
+ {
+ "id": "7",
+ "title": "盗梦空间",
+ "director": "Lasse Hallström",
+ "year": "2001",
+ "rating": "7.5",
+ "duration": "131",
+ "genre": "悬疑",
+ "actors_count": "3"
+ },
+ {
+ "id": "8",
+ "title": "泰坦尼克号",
+ "director": "Rajkumar Hirani",
+ "year": "1994",
+ "rating": "6.8",
+ "duration": "163",
+ "genre": "喜剧",
+ "actors_count": "4"
+ },
+ {
+ "id": "9",
+ "title": "三傻大闹宝莱坞",
+ "director": "Christophe Barratier",
+ "year": "1997",
+ "rating": "6.8",
+ "duration": "107",
+ "genre": "冒险",
+ "actors_count": "5"
+ },
+ {
+ "id": "10",
+ "title": "霸王别姬",
+ "director": "Christopher Nolan",
+ "year": "2006",
+ "rating": "9.1",
+ "duration": "98",
+ "genre": "科幻",
+ "actors_count": "2"
+ }
+]
\ No newline at end of file
diff --git a/q2_1_crawler/movie.json b/q2_1_crawler/movie.json
new file mode 100644
index 0000000..c8a0a99
--- /dev/null
+++ b/q2_1_crawler/movie.json
@@ -0,0 +1,102 @@
+[
+ {
+ "id": "1",
+ "title": "阿甘正传",
+ "director": "Frank Darabont",
+ "year": "2023",
+ "rating": "8.5",
+ "duration": "112",
+ "genre": "科幻",
+ "actors_count": "4"
+ },
+ {
+ "id": "2",
+ "title": "忠犬八公的故事",
+ "director": "陈凯歌",
+ "year": "2023",
+ "rating": "6.9",
+ "duration": "102",
+ "genre": "动画",
+ "actors_count": "4"
+ },
+ {
+ "id": "3",
+ "title": "放牛班的春天",
+ "director": "Robert Zemeckis",
+ "year": "1993",
+ "rating": "7.6",
+ "duration": "175",
+ "genre": "动画",
+ "actors_count": "5"
+ },
+ {
+ "id": "4",
+ "title": "星际穿越",
+ "director": "James Cameron",
+ "year": "2024",
+ "rating": "9.1",
+ "duration": "92",
+ "genre": "喜剧",
+ "actors_count": "5"
+ },
+ {
+ "id": "5",
+ "title": "千与千寻",
+ "director": "宫崎骏",
+ "year": "2007",
+ "rating": "8.3",
+ "duration": "146",
+ "genre": "悬疑",
+ "actors_count": "4"
+ },
+ {
+ "id": "6",
+ "title": "肖申克的救赎",
+ "director": "Christopher Nolan",
+ "year": "1997",
+ "rating": "8.3",
+ "duration": "117",
+ "genre": "爱情",
+ "actors_count": "5"
+ },
+ {
+ "id": "7",
+ "title": "盗梦空间",
+ "director": "Lasse Hallström",
+ "year": "2001",
+ "rating": "7.5",
+ "duration": "131",
+ "genre": "悬疑",
+ "actors_count": "3"
+ },
+ {
+ "id": "8",
+ "title": "泰坦尼克号",
+ "director": "Rajkumar Hirani",
+ "year": "1994",
+ "rating": "6.8",
+ "duration": "163",
+ "genre": "喜剧",
+ "actors_count": "4"
+ },
+ {
+ "id": "9",
+ "title": "三傻大闹宝莱坞",
+ "director": "Christophe Barratier",
+ "year": "1997",
+ "rating": "6.8",
+ "duration": "107",
+ "genre": "冒险",
+ "actors_count": "5"
+ },
+ {
+ "id": "10",
+ "title": "霸王别姬",
+ "director": "Christopher Nolan",
+ "year": "2006",
+ "rating": "9.1",
+ "duration": "98",
+ "genre": "科幻",
+ "actors_count": "2"
+ }
+]
\ No newline at end of file
diff --git a/q2_1_crawler/q2_1.py b/q2_1_crawler/q2_1.py
new file mode 100644
index 0000000..22dbf75
--- /dev/null
+++ b/q2_1_crawler/q2_1.py
@@ -0,0 +1,48 @@
+import requests
+from bs4 import BeautifulSoup as bs
+import json
+
+url = 'https://exam.detr.top/exam-b/movies'
+headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/149.0.0.0 Safari/537.36 Edg/149.0.0.0',
+ 'Referer':'https://exam.detr.top/exam-b/movies'}
+req = requests.get(url, headers=headers)
+req.encoding="utf-8"
+
+data=[]
+
+soup=bs(req.text,"html.parser")
+# print(soup)
+#id, title, director, year, rating, duration, genre, actors-count
+
+items=soup.select('.item-row')
+# movie_list=[]
+for i in range(len(items)):
+ id=items[i].find("td",class_="item-id").get_text()
+ title=items[i].find("td",class_="item-title").get_text().strip()
+ director=items[i].find("td",class_="item-director").get_text().strip()
+ year=items[i].find("td",class_="item-year").get_text()
+ rating=items[i].find("td",class_="item-rating").get_text()
+ duration=items[i].find("td",class_="item-duration").get_text()
+ genre=items[i].find("td",class_="item-genre").get_text()
+ actors_count=items[i].find("td",class_="item-actors-count").get_text()
+
+ data.append({
+ "id":id,
+ "title":title,
+ "director":director,
+ "year":year,
+ "rating":rating,
+ "duration":duration,
+ "genre":genre,
+ "actors_count":actors_count
+
+ })
+
+print(data)
+
+
+with open('movie.json', 'w', encoding='utf-8') as f:
+ json.dump(data, f, ensure_ascii=False, indent=2)
+
+with open("movie.html","w",encoding='utf-8') as f:
+ json.dump(data, f, ensure_ascii=False, indent=2)
\ No newline at end of file
diff --git a/q2_1_crawler/q2_2.py b/q2_1_crawler/q2_2.py
new file mode 100644
index 0000000..f30c2f7
--- /dev/null
+++ b/q2_1_crawler/q2_2.py
@@ -0,0 +1,43 @@
+# ① 找出评分最高和最低的电影，打印电影名 + 评分。
+# ② 统计各类型的电影数量，用字典格式输出。
+# ③ 统计各导演的电影数量，用字典格式输出。
+# ④ 统计 2020 年（含）以后上映的电影数量。
+
+import json
+
+
+
+with open('movie.json', 'r', encoding='utf-8') as f:
+ data=json.load(f)
+ # print(data)
+
+
+sort_movie=sorted(data,key=lambda x:x["rating"])
+min=sort_movie[0]
+max=sort_movie[-1]
+print("评分最低的电影",min["title"],min["rating"])
+print("评分最高的电影",max["title"],max["rating"])
+
+genre_shu={}
+for g in data:
+ ge=g["genre"]
+ if ge in genre_shu:
+ genre_shu[ge]+=1
+ else:
+ genre_shu[ge]=1
+print("各类型的电影数量",genre_shu)
+
+director_shu={}
+for d in data:
+ di=d["director"]
+ if di in director_shu:
+ director_shu[di]+=1
+ else:
+ director_shu[di]=1
+print("各导演的电影数量",director_shu)
+
+a=0
+for y in data:
+ if int(y["year"]) >= 2020:
+ a+=1
+print("2020 年（含）以后上映的电影数量",a)
\ No newline at end of file
diff --git a/q3/q3_1/q3_1_image_label.zip b/q3/q3_1/q3_1_image_label.zip
new file mode 100644
index 0000000..5b08d84
Binary files /dev/null and b/q3/q3_1/q3_1_image_label.zip differ
diff --git a/q3/q3_2/q3_2_takeout_reviews.json b/q3/q3_2/q3_2_takeout_reviews.json
new file mode 100644
index 0000000..94c7925
--- /dev/null
+++ b/q3/q3_2/q3_2_takeout_reviews.json
@@ -0,0 +1 @@
+[{"id":32,"annotations":[{"id":20,"completed_by":1,"result":[{"value":{"choices":["正面"]},"id":"Onq13IcOtQ","from_name":"sentiment","to_name":"text","type":"choices","origin":"manual"}],"was_cancelled":false,"ground_truth":false,"created_at":"2026-06-25T07:10:52.845728Z","updated_at":"2026-06-25T07:10:52.845818Z","draft_created_at":"2026-06-25T07:10:22.361376Z","lead_time":12.684999999999999,"prediction":{},"result_count":1,"unique_id":"0dd85e72-c68d-4302-ab92-11c8114bd5bb","import_id":null,"last_action":null,"bulk_created":false,"task":32,"project":12,"updated_by":1,"parent_prediction":null,"parent_annotation":null,"last_created_by":null}],"file_upload":"9ce97d9b-reviews.json","drafts":[],"predictions":[],"data":{"id":1,"text":"外卖小哥送得超快，餐盒还是热的，炸鸡酥脆多汁，酸辣粉也很正宗，分量足，五星好评！"},"meta":{},"created_at":"2026-06-25T07:10:04.754168Z","updated_at":"2026-06-25T07:10:52.903174Z","allow_skip":true,"inner_id":1,"total_annotations":1,"cancelled_annotations":0,"total_predictions":0,"comment_count":0,"unresolved_comment_count":0,"last_comment_updated_at":null,"project":12,"updated_by":1,"comment_authors":[]},{"id":33,"annotations":[{"id":21,"completed_by":1,"result":[{"value":{"choices":["负面"]},"id":"cJxGS89PGV","from_name":"sentiment","to_name":"text","type":"choices","origin":"manual"}],"was_cancelled":false,"ground_truth":false,"created_at":"2026-06-25T07:10:56.177683Z","updated_at":"2026-06-25T07:10:56.177702Z","draft_created_at":"2026-06-25T07:10:40.725815Z","lead_time":4.317,"prediction":{},"result_count":1,"unique_id":"ec19a0ee-0062-4fcb-be7e-3885bbb0e630","import_id":null,"last_action":null,"bulk_created":false,"task":33,"project":12,"updated_by":1,"parent_prediction":null,"parent_annotation":null,"last_created_by":null}],"file_upload":"9ce97d9b-reviews.json","drafts":[],"predictions":[],"data":{"id":2,"text":"等了一个半小时才送到，汤全洒了，面坨成一坨，联系客服也不回，太让人失望了。"},"meta":{},"created_at":"2026-06-25T07:10:04.754256Z","updated_at":"2026-06-25T07:10:56.235324Z","allow_skip":true,"inner_id":2,"total_annotations":1,"cancelled_annotations":0,"total_predictions":0,"comment_count":0,"unresolved_comment_count":0,"last_comment_updated_at":null,"project":12,"updated_by":1,"comment_authors":[]},{"id":34,"annotations":[{"id":22,"completed_by":1,"result":[{"value":{"choices":["正面"]},"id":"TEYHnwsP5p","from_name":"sentiment","to_name":"text","type":"choices","origin":"manual"}],"was_cancelled":false,"ground_truth":false,"created_at":"2026-06-25T07:11:02.709432Z","updated_at":"2026-06-25T07:11:02.709456Z","draft_created_at":"2026-06-25T07:10:44.119328Z","lead_time":5.162,"prediction":{},"result_count":1,"unique_id":"e99cc8d6-b0ec-4ba7-95c9-75e600010972","import_id":null,"last_action":null,"bulk_created":false,"task":34,"project":12,"updated_by":1,"parent_prediction":null,"parent_annotation":null,"last_created_by":null}],"file_upload":"9ce97d9b-reviews.json","drafts":[],"predictions":[],"data":{"id":3,"text":"奶茶是用料很扎实的现煮茶，珍珠Q弹有嚼劲，配送员态度也好，下次还会再点。"},"meta":{},"created_at":"2026-06-25T07:10:04.754319Z","updated_at":"2026-06-25T07:11:02.772529Z","allow_skip":true,"inner_id":3,"total_annotations":1,"cancelled_annotations":0,"total_predictions":0,"comment_count":0,"unresolved_comment_count":0,"last_comment_updated_at":null,"project":12,"updated_by":1,"comment_authors":[]},{"id":35,"annotations":[{"id":23,"completed_by":1,"result":[{"value":{"choices":["正面"]},"id":"WSCVtAKzJa","from_name":"sentiment","to_name":"text","type":"choices","origin":"manual"}],"was_cancelled":false,"ground_truth":false,"created_at":"2026-06-25T07:11:05.544799Z","updated_at":"2026-06-25T07:11:05.544821Z","draft_created_at":"2026-06-25T07:10:46.400039Z","lead_time":3.517,"prediction":{},"result_count":1,"unique_id":"b72bb1ff-9547-471d-8edd-58f5277dca12","import_id":null,"last_action":null,"bulk_created":false,"task":35,"project":12,"updated_by":1,"parent_prediction":null,"parent_annotation":null,"last_created_by":null}],"file_upload":"9ce97d9b-reviews.json","drafts":[],"predictions":[],"data":{"id":4,"text":"配送速度一般，但披萨味道不错，芝士拉丝效果好，性价比高，值得推荐。"},"meta":{},"created_at":"2026-06-25T07:10:04.754376Z","updated_at":"2026-06-25T07:11:05.601129Z","allow_skip":true,"inner_id":4,"total_annotations":1,"cancelled_annotations":0,"total_predictions":0,"comment_count":0,"unresolved_comment_count":0,"last_comment_updated_at":null,"project":12,"updated_by":1,"comment_authors":[]},{"id":36,"annotations":[{"id":24,"completed_by":1,"result":[{"value":{"choices":["负面"]},"id":"qLglBmVk44","from_name":"sentiment","to_name":"text","type":"choices","origin":"manual"}],"was_cancelled":false,"ground_truth":false,"created_at":"2026-06-25T07:11:08.643150Z","updated_at":"2026-06-25T07:11:08.643172Z","draft_created_at":"2026-06-25T07:10:48.222193Z","lead_time":2.6100000000000003,"prediction":{},"result_count":1,"unique_id":"7e05411c-9818-4359-872a-ed1e588d0687","import_id":null,"last_action":null,"bulk_created":false,"task":36,"project":12,"updated_by":1,"parent_prediction":null,"parent_annotation":null,"last_created_by":null}],"file_upload":"9ce97d9b-reviews.json","drafts":[],"predictions":[],"data":{"id":5,"text":"点的麻辣烫食材不新鲜，有股怪味，吃完拉肚子，商家推卸责任，再也不点了。"},"meta":{},"created_at":"2026-06-25T07:10:04.754432Z","updated_at":"2026-06-25T07:11:08.699069Z","allow_skip":true,"inner_id":5,"total_annotations":1,"cancelled_annotations":0,"total_predictions":0,"comment_count":0,"unresolved_comment_count":0,"last_comment_updated_at":null,"project":12,"updated_by":1,"comment_authors":[]}]
\ No newline at end of file
diff --git a/q3/q3_3_质量自评.md b/q3/q3_3_质量自评.md
new file mode 100644
index 0000000..6f2ef33
--- /dev/null
+++ b/q3/q3_3_质量自评.md
@@ -0,0 +1,9 @@
+标注质量自评
+1.标注前准备
+本次文本情感分类标注规范：仅设置（正面）（负面）俩类标签，一条评论只能标注单一情感，无中立标签；判断依据以用户核心情绪、评价倾向为准，忽略无关客观描述。标注前查看2条示例评论，明确极端好评、差评的区别边界，统一判定标准。
+
+2.标注过程
+困难：部分评论同时存在优缺点混合描述，情感倾向模糊。解决方法：抓取句子核心总结、整体推荐态度，以最终情绪导向判定；不确定样本反复重读全文，不随意打标签，保证标签唯一。
+
+3.标注后检查
+逐条核对5条评论，确保每条都存在id、text、sentiment字段，无漏标数据；没有导入重复数据，全部素材仅标注一次，导出JSON校验字段格式符合作业要求，无缺失、错标。
\ No newline at end of file
diff --git a/q4/q4_1/q4_1.py b/q4/q4_1/q4_1.py
new file mode 100644
index 0000000..e371b3e
--- /dev/null
+++ b/q4/q4_1/q4_1.py
@@ -0,0 +1,40 @@
+import matplotlib.pyplot as plt
+import json
+
+
+with open(r'D:\桌面\期末考试\simulated-examination\q2_1_crawler\movie.json', 'r', encoding='utf-8') as f:
+ data=json.load(f)
+ # print(data)
+
+genre_shu={}
+for g in data:
+ ge=g["genre"]
+ if ge in genre_shu:
+ genre_shu[ge]+=1
+ else:
+ genre_shu[ge]=1
+# print("各类型的电影数量",genre_shu)
+
+genre_lei=list(genre_shu.keys())
+genre_liang=list(genre_shu.values())
+
+print(genre_liang)
+
+plt.figure(figsize=(14, 12))
+plt.bar(genre_lei, genre_liang,
+ width=0.6)
+
+# 标题和标签
+plt.title('类型电影数量分布', fontsize=14)
+plt.xlabel('类型名称', fontsize=12)
+plt.ylabel('电影数量', fontsize=12)
+
+
+import os
+save_path = os.path.join(os.path.dirname(__file__),"q4_1_bar.png")
+plt.savefig(save_path, dpi=150,format='png')
+plt.show()
+
+
+
+#with open('movie.json', 'r', encoding='utf-8') as f:
\ No newline at end of file
diff --git a/q4/q4_1/q4_1_bar.png b/q4/q4_1/q4_1_bar.png
new file mode 100644
index 0000000..553bf7d
Binary files /dev/null and b/q4/q4_1/q4_1_bar.png differ
diff --git a/q4/q4_2/q4_2.py b/q4/q4_2/q4_2.py
new file mode 100644
index 0000000..cf32d5b
--- /dev/null
+++ b/q4/q4_2/q4_2.py
@@ -0,0 +1,28 @@
+import matplotlib.pyplot as plt
+import json
+
+rating=[]
+duration=[]
+
+with open(r'D:\桌面\期末考试\simulated-examination\q2_1_crawler\movie.json', 'r', encoding='utf-8') as f:
+ data=json.load(f)
+ # print(data)
+ for i in data:
+ rating.append(i["rating"])
+ duration.append(i["duration"])
+plt.figure(figsize=(12, 8))
+plt.scatter(duration, rating,
+ c='red',
+ s=80, # 点的大小
+ alpha=0.6, # 透明度
+ edgecolors='white') # 点的边框
+plt.title('时长与评分关系散点图', fontsize=14)
+plt.xlabel('时长', fontsize=12)
+plt.ylabel('评分', fontsize=12)
+plt.grid(True, linestyle='--', alpha=0.5)
+
+
+import os
+save_path = os.path.join(os.path.dirname(__file__),"q4_2_scatter.png")
+plt.savefig(save_path, dpi=150,format='png')
+plt.show()
\ No newline at end of file
diff --git a/q4/q4_2/q4_2_scatter.png b/q4/q4_2/q4_2_scatter.png
new file mode 100644
index 0000000..dc99ee4
Binary files /dev/null and b/q4/q4_2/q4_2_scatter.png differ
diff --git a/q4/q4_3a/q4_3a.py b/q4/q4_3a/q4_3a.py
new file mode 100644
index 0000000..c8ed2f4
--- /dev/null
+++ b/q4/q4_3a/q4_3a.py
@@ -0,0 +1,24 @@
+import matplotlib.pyplot as plt
+import json
+
+rating=[]
+
+with open(r'D:\桌面\期末考试\simulated-examination\q2_1_crawler\movie.json', 'r', encoding='utf-8') as f:
+ data=json.load(f)
+ # print(data)
+ for i in data:
+ rating.append(i["rating"])
+
+plt.figure(figsize=(12,8))
+plt.hist(rating, # 数据
+ bins=10, # 分成几个柱子
+ color='#3498DB', # 颜色
+ edgecolor='white') # 柱子边框颜色
+plt.title('评分分布', fontsize=14)
+plt.xlabel('评分', fontsize=13)
+plt.grid(True, linestyle='--', alpha=0.5, axis='y')
+
+import os
+save_path = os.path.join(os.path.dirname(__file__),"q4_3a_hist.png")
+plt.savefig(save_path, dpi=150,format='png')
+plt.show()
\ No newline at end of file
diff --git a/q4/q4_3a/q4_3a_hist.png b/q4/q4_3a/q4_3a_hist.png
new file mode 100644
index 0000000..a6e41a1
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diff --git a/q4/q4_3b/q4_3b.py b/q4/q4_3b/q4_3b.py
new file mode 100644
index 0000000..7b2480a
--- /dev/null
+++ b/q4/q4_3b/q4_3b.py
@@ -0,0 +1,24 @@
+import matplotlib.pyplot as plt
+import json
+duration=[]
+
+with open(r'D:\桌面\期末考试\simulated-examination\q2_1_crawler\movie.json', 'r', encoding='utf-8') as f:
+ data=json.load(f)
+ # print(data)
+ for i in data:
+ duration.append(i["duration"])
+
+plt.figure(figsize=(12,8))
+plt.hist( duration, # 数据
+ bins=10, # 分成几个柱子
+ color='#3498DB', # 颜色
+ edgecolor='white') # 柱子边框颜色
+plt.title('时长分布', fontsize=14)
+plt.xlabel('时长（分钟）', fontsize=13)
+plt.grid(True, linestyle='--', alpha=0.5, axis='y')
+
+
+import os
+save_path = os.path.join(os.path.dirname(__file__),"q4_3b_hist.png")
+plt.savefig(save_path, dpi=150,format='png')
+plt.show()
\ No newline at end of file
diff --git a/q4/q4_3b/q4_3b_hist.png b/q4/q4_3b/q4_3b_hist.png
new file mode 100644
index 0000000..0dfef73
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