Update Notebooks

tutorial-notebooks/ae/standard/data/attribute.csv

@@ -1,4 +0,0 @@
-attribute,index
-None,0
-民族,1
-字,2

tutorial-notebooks/ae/standard/data/test.csv

@@ -1,3 +0,0 @@
-sentence,attribute,entity,entity_offset,attribute_value,attribute_value_offset,len,tokens,dependency
-柳为易，女，1989年5月出生，中共党员 ，汉族，重庆市人,民族,柳为易,0,汉族,22,17,"['柳为', '易', '，', '女', '，', '1989', '年', '5', '月', '出生', '，', '中共党员', '，', '汉族', '，', '重庆市', '人']","[1, 1, 12, 1, 12, 1, 10, 1, 1, 1, 12, 16, 12, 15, 12, 1, 13]"
-庄肇奎  （1728-1798）  榜姓杜，字星堂，号胥园，江苏武进籍，浙江秀水（今嘉兴）人,字,庄肇奎,0,星堂,23,23,"['庄肇奎', '（', '1728', '-', '1798', '）', '榜姓', '杜', '，', '字星堂', '，', '号', '胥园', '，', '江苏', '武进', '籍', '，', '浙江', '秀水', '（', '今', '嘉兴', '）', '人']","[1, 9, 1, 1, 1, 11, 1, 1, 12, 1, 12, 1, 1, 12, 1, 1, 1, 12, 1, 1, 9, 1, 1, 11, 13]"

tutorial-notebooks/ae/standard/data/train.csv

@@ -1,5 +0,0 @@
-sentence,attribute,entity,entity_offset,attribute_value,attribute_value_offset,len,tokens,dependency
-苏轼（1037～1101年），字子瞻，又字和仲，号“东坡居士”，眉州眉山（即今四川眉州）人，是宋代（北宋）著名的文学家、书画家,字,苏轼,0,和仲,21,42,"['苏轼', '（', '1037', '～', '1101', '年', '）', '，', '字子', '瞻', '，', '又', '字', '和', '仲', '，', '号', '“', '东坡', '居士', '”', '，', '眉州', '眉山', '（', '即', '今', '四川', '眉州', '）', '人', '，', '是', '宋代', '（', '北宋', '）', '著名', '的', '文学家', '、', '书画家']","[1, 9, 1, 1, 1, 10, 11, 12, 1, 1, 12, 1, 1, 1, 1, 12, 1, 1, 1, 1, 1, 12, 1, 1, 9, 1, 1, 1, 1, 11, 13, 12, 1, 1, 9, 1, 11, 1, 1, 1, 1, 1]"
-屈中乾，男，汉族，中共党员，特级教师,民族,屈中乾,0,汉族,6,10,"['屈中', '乾', '，', '男', '，', '汉族', '，', '中共党员', '，', '特级教师']","[1, 1, 12, 14, 12, 15, 12, 16, 12, 1]"
-黄向静，女，汉族，1965年5月生，大学学历，1986年17月参加工作，中共党员，身体健康,民族,黄向静,0,汉族,6,24,"['黄向静', '，', '女', '，', '汉族', '，', '1965', '年', '5', '月生', '，', '大学', '学历', '，', '1986', '年', '17', '月', '参加', '工作', '，', '中共党员', '，', '身体健康']","[1, 12, 1, 12, 15, 12, 1, 10, 1, 1, 12, 1, 1, 12, 1, 10, 1, 1, 1, 1, 12, 16, 12, 1]"
-司马懿，字仲达，河南温县人,字,司马懿,0,仲达,5,7,"['司马懿', '，', '字仲达', '，', '河南', '温县', '人']","[1, 12, 1, 12, 1, 1, 13]"

tutorial-notebooks/ae/standard/data/valid.csv

@@ -1,3 +0,0 @@
-sentence,attribute,entity,entity_offset,attribute_value,attribute_value_offset,len,tokens,dependency
-田承冉 男，1952年生，汉族，山东桓台人，共党员,民族,田承冉,0,汉族,13,14,"['田承冉', '男', '，', '1952', '年生', '，', '汉族', '，', '山东', '桓台', '人', '，', '共', '党员']","[1, 14, 12, 1, 1, 12, 15, 12, 1, 1, 13, 12, 1, 1]"
-冷家骥，字展麒，山东招远人,字,冷家骥,0,展麒,5,8,"['冷家骥', '，', '字展', '麒', '，', '山东', '招远', '人']","[1, 12, 1, 1, 12, 1, 1, 13]"

tutorial-notebooks/ae/standard/standard_ae_tutorial.ipynb

@@ -4,13 +4,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Attribution Extraction Experiment\n",
+    "## Attribution Extraction Tutorial\n",
     "> Tutorial author: 陶联宽(22051063@zju.edu.cn)\n",
     "\n",
-    "On this demo, we use `pretrain_language model` to extract attributions.\n",
-    "We hope this demo can help you understand the process of construction knowledge graph and the principles and common methods of triplet extraction.\n",
+    "In this tutorial, we use `pretrain_language model` to extract attributions.\n",
+    "We hope this tutorial can help you understand the process of construction knowledge graph and the principles and common methods of triplet extraction.\n",
     "\n",
-    "This demo uses `Python3`.\n",
+    "This tutorial uses `Python3`.\n",
     "\n",
     "### Dataset\n",
     "In this example,we get some Chinese text to extract the triples\n",
@@ -55,9 +55,9 @@
    "outputs": [],
    "source": [
     "# Run the neural network with pytorch and confirm whether it is installed before running\n",
-    "!pip install torch\n",
-    "!pip install matplotlib\n",
-    "!pip install transformers"
+    "!pip install deepke\n",
+    "!wget 120.27.214.45/Data/ae/standard/data.tar.gz\n",
+    "!tar -xzvf data.tar.gz"
    ]
   },
   {
@@ -532,13 +532,6 @@
     "test_f1, _ = validate(0, model, test_dataloader, criterion,verbose=False)\n",
     "print(f'after {cfg.epoch} epochs, final test data macro f1: {test_f1:.4f}')"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This demo does not include parameter adjustment. Interested students can go to [deepke] by themselves（ http://openkg.cn/tool/deepke ）Warehouse, download and use more models:)"
-   ]
   }
  ],
  "metadata": {

tutorial-notebooks/ner/few-shot/fewshot_ner_tutorial.ipynb

@@ -91,9 +91,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install transformers==3.4.0\n",
-    "!pip install torch==1.7.0\n",
-    "!pip install tqdm==4.61.1"
+    "!pip install deepke\n",
+    "!wget 120.27.214.45/Data/ner/few_shot/data.tar.gz\n",
+    "!tar -xzvf data.tar.gz"
    ]
   },
   {

tutorial-notebooks/re/document/document_re_tutorial.ipynb

@@ -105,15 +105,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install python==3.7\n",
-    "!pip install cuda==10.2\n",
-    "!pip install torch==1.5.0\n",
-    "!pip install transformers==3.0.4\n",
-    "!pip install opt-einsum==3.3.0\n",
-    "!pip install ujson\n",
-    "!pip install tqdm\n",
-    "!pip install allennlp\n",
-    "!pip install matplotlib"
+    "!pip install deepke\n",
+    "!wget 120.27.214.45/Data/re/document/data.tar.gz\n",
+    "!tar -xzvf data.tar.gz"
    ]
   },
   {

tutorial-notebooks/re/few-shot/fewshot_re_tutorial.ipynb

@@ -93,17 +93,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install numpy==1.20.3\n",
-    "!pip install tokenizers==0.10.3\n",
-    "!pip install torch==1.8.0\n",
-    "!pip install regex==2021.4.4\n",
-    "!pip install transformers==4.7.0\n",
-    "!pip install tqdm==4.49.0\n",
-    "!pip install activations==0.1.0\n",
-    "!pip install dataclasses==0.6\n",
-    "!pip install file_utils==0.0.1\n",
-    "!pip install flax==0.3.4\n",
-    "!pip install utils==1.0.1"
+    "!pip install deepke\n",
+    "!wget 120.27.214.45/Data/re/few_shot/data.tar.gz\n",
+    "!tar -xzvf data.tar.gz"
    ]
   },
   {

tutorial-notebooks/re/standard/data/relation.csv

@@ -1,5 +0,0 @@
-head_type,tail_type,relation,index
-None,None,None,0
-影视作品,人物,导演,1
-景点,城市,所在城市,2
-歌曲,音乐专辑,所属专辑,3

tutorial-notebooks/re/standard/data/test.csv

@@ -1,4 +0,0 @@
-sentence,relation,head,tail,tokens,lens,head_type,head_offset,tail_type,tail_offset,dependency
-建国后南京于1951年将莫愁湖列为第一区人民公园。,所在城市,莫愁湖,南京,"['建国', '后', '南京', '于', '1951年', '将', '莫愁湖', '列为', '第一', '区', '人民', '公园', '。']",13,景点,6,城市,2,"[2, 8, 8, 8, 4, 8, 6, 0, 10, 12, 12, 8, 8]"
-2001年李三光被张黎选中让其饰演《走向共和》中的光绪皇帝而出道。,导演,走向共和,李三光,"['2001年', '李三光', '被', '张黎', '选中', '让', '其', '饰演', '《', '走向', '共和', '》', '中的', '光绪皇帝', '而', '出道', '。']",17,影视作品,9,人物,1,"[2, 5, 5, 5, 0, 5, 6, 6, 10, 13, 10, 10, 8, 13, 16, 13, 5]"
-《我爱秋莲》是收录于高胜美专辑《雷射》的一首金曲。,所属专辑,我爱秋莲,雷射,"['《', '我', '爱秋莲', '》', '是', '收录于', '高胜', '美专', '辑', '《', '雷射', '》', '的', '一首', '金曲', '。']",16,歌曲,1,音乐专辑,10,"[3, 3, 5, 3, 0, 15, 8, 9, 15, 11, 15, 11, 11, 15, 5, 5]"

tutorial-notebooks/re/standard/data/train.csv

@@ -1,7 +0,0 @@
-sentence,relation,head,tail,tokens,lens,head_type,head_offset,tail_type,tail_offset,dependency
-孔正锡在2005年以一部温馨的爱情电影《长腿叔叔》敲开电影界大门。,导演,长腿叔叔,孔正锡,"['孔正锡', '在', '2005年', '以', '一部', '温馨', '的', '爱情', '电影', '《', '长腿', '叔叔', '》', '敲开', '电影界', '大门', '。']",17,影视作品,10,人物,0,"[14, 14, 2, 14, 9, 9, 6, 9, 12, 12, 12, 4, 12, 0, 16, 14, 14]"
-2014年8月，韩兆导演的电影《好命先生》正式上映。,导演,好命先生,韩兆,"['2014年8月', '，', '韩兆', '导演', '的', '电影', '《', '好命先生', '》', '正式', '上映', '。']",12,影视作品,7,人物,2,"[11, 1, 4, 6, 4, 8, 8, 11, 8, 11, 0, 11]"
-2000年8月，「天坛大佛」荣获「香港十大杰出工程项目」第四名。,所在城市,天坛大佛,香港,"['2000年8月', '，', '「', '天坛', '大佛', '」', '荣获', '「', '香港', '十', '大', '杰出', '工程项目', '」', '第四', '名', '。']",17,景点,3,城市,8,"[7, 1, 5, 5, 7, 5, 0, 13, 13, 11, 13, 13, 16, 13, 16, 7, 7]"
-地安门是北京主皇城四门之一。,所在城市,地安门,北京,"['地安门', '是', '北京', '主', '皇城', '四', '门', '之一', '。']",9,景点,0,城市,2,"[2, 0, 5, 5, 7, 7, 8, 2, 2]"
-《伤心的树》是吴宗宪的音乐作品，收录在《你比从前快乐》专辑中。,所属专辑,伤心的树,你比从前快乐,"['《', '伤心', '的', '树', '》', '是', '吴宗宪', '的', '音乐作品', '，', '收录', '在', '《', '你', '比', '从前', '快乐', '》', '专辑', '中', '。']",21,歌曲,1,音乐专辑,13,"[4, 4, 2, 6, 4, 0, 9, 7, 6, 6, 6, 11, 17, 17, 17, 15, 19, 17, 20, 12, 6]"
-请不要认错我是关淑怡专辑《冬恋》里的一首歌曲。,所属专辑,请不要认错我,冬恋,"['请', '不要', '认错', '我', '是', '关淑怡', '专辑', '《', '冬恋', '》', '里', '的', '一', '首', '歌曲', '。']",16,歌曲,0,音乐专辑,8,"[0, 3, 1, 5, 3, 7, 9, 9, 11, 9, 15, 11, 14, 15, 5, 1]"

tutorial-notebooks/re/standard/data/valid.csv

@@ -1,4 +0,0 @@
-sentence,relation,head,tail,tokens,lens,head_type,head_offset,tail_type,tail_offset,dependency
-《岳父也是爹》是王军执导的电视剧，马恩然、范明主演。,导演,岳父也是爹,王军,"['《', '岳父', '也是', '爹', '》', '是', '王军', '执导', '的', '电视剧', '，', '马恩然', '、', '范明', '主演', '。']",16,影视作品,1,人物,6,"[4, 4, 4, 6, 4, 0, 8, 10, 8, 6, 6, 15, 14, 12, 6, 6]"
-渔人码头的落成使得澳门旅游业展现全新的旅游面貌。,所在城市,渔人码头,澳门,"['渔人码头', '的', '落成', '使得', '澳门', '旅游业', '展现', '全新', '的', '旅游', '面貌', '。']",12,景点,0,城市,4,"[3, 1, 4, 0, 6, 4, 4, 11, 8, 11, 7, 4]"
-《寄梦》是黄露仪的音乐作品，收录在《宁愿相信》专辑中。,所属专辑,寄梦,宁愿相信,"['《', '寄', '梦', '》', '是', '黄露仪', '的', '音乐作品', '，', '收录', '在', '《', '宁愿', '相信', '》', '专辑', '中', '。']",18,歌曲,1,音乐专辑,12,"[2, 5, 2, 2, 0, 8, 6, 5, 5, 5, 10, 14, 14, 17, 14, 17, 11, 5]"

tutorial-notebooks/re/standard/standard_re_BERT_tutorial.ipynb

@@ -4,13 +4,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## relation extraction experiment\n",
+    "## BERT based Standard Relation Extraction Tutorial\n",
     "> Tutorial author：余海阳（yuhaiyang@zju.edu.cn)\n",
     "\n",
-    "On this demo，we use `pretrain_language model` to extract relations.\n",
-    "We hope this demo can help you understand the process of conctruction knowledge graph and the the principles and common methods of triplet extraction.\n",
+    "In this tutorial，we use `BERT` to extract relations.\n",
+    "We hope this tutorial can help you understand the process of conctruction knowledge graph and the the principles and common methods of triplet extraction.\n",
     "\n",
-    "This demo uses `Python3`.\n",
+    "This tutorial uses `Python3`.\n",
     "\n",
     "### Dataset\n",
     "In this example,we get some Chinese text to extract the triples.\n",
@@ -56,9 +56,9 @@
    "outputs": [],
    "source": [
     "# Run the neural network with pytorch and confirm whether it is installed before running\n",
-    "!pip install torch\n",
-    "!pip install matplotlib\n",
-    "!pip install transformers"
+    "!pip install deepke\n",
+    "!wget 120.27.214.45/Data/re/standard/data.tar.gz\n",
+    "!tar -xzvf data.tar.gz"
    ]
   },
   {
@@ -546,13 +546,6 @@
     "test_f1, _ = validate(0, model, test_dataloader, criterion,verbose=False)\n",
     "print(f'after {cfg.epoch} epochs, final test data macro f1: {test_f1:.4f}')"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This demo does not include parameter adjustment. Interested students can go to [deepke] by themselves（ http://openkg.cn/tool/deepke ）Warehouse, download and use more models:)"
-   ]
   }
  ],
  "metadata": {
@@ -560,7 +553,8 @@
    "hash": "07ee17aed077b353900b50ce6f0ef17f1492499c86f09df07de696a5c0b76ad4"
   },
   "kernelspec": {
-   "display_name": "Python 3.8.11 64-bit ('deepke': conda)",
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {

tutorial-notebooks/re/standard/standard_re_pcnn_tutorial.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Standard Relation Rxtraction Tutorial\n",
+    "## PCNN based Standard Relation Rxtraction Tutorial\n",
     "> Tutorial author：余海阳（yuhaiyang@zju.edu.cn)\n",
     "\n",
     "In this tutorial，we use `pcnn` model to extract relations.\n",
@@ -46,9 +46,9 @@
    "outputs": [],
    "source": [
     "# Run the neural network with pytorch and confirm whether it is installed before running\n",
-    "!pip install torch\n",
-    "!pip install matplotlib\n",
-    "!pip install transformers"
+    "!pip install deepke\n",
+    "!wget 120.27.214.45/Data/re/standard/data.tar.gz\n",
+    "!tar -xzvf data.tar.gz"
    ]
   },
   {