[update]add data

README.md

@@ -14,18 +14,23 @@ size_categories:
 
 | 数据 | 原始数据/项目地址 | 样本个数 | 语料描述 | 替代数据下载地址 |
 | :--- |     :---:      |   :---:  |  :---:    |     :---:     |
-| ChatterBot | [ChatterBot](https://github.com/gunthercox/ChatterBot); [chatterbot-corpus](https://github.com/gunthercox/chatterbot-corpus) | 560 | 按类型分类，质量较高 |  |
-| douban | [Douban Conversation Corpus](https://github.com/MarkWuNLP/MultiTurnResponseSelection) | 352W | 来自北航和微软的paper, 开源项目, 噪音相对较少，原本是多轮 (平均7.6轮) |  |
-| ptt | [PTT 中文語料](https://github.com/zake7749/Gossiping-Chinese-Corpus) | 77W | 开源项目, 台湾PTT论坛八卦版, 繁体, 语料较生活化, 有噪音 |  |
+| ChatterBot | [ChatterBot](https://github.com/gunthercox/ChatterBot); [chatterbot-corpus](https://github.com/gunthercox/chatterbot-corpus) | 560 | 按类型分类，质量较高 | [阿里云盘](https://www.aliyundrive.com/s/qXBdAYtz5j5); 提取码: 81ao |
+| douban | [Douban Conversation Corpus](https://github.com/MarkWuNLP/MultiTurnResponseSelection) | 352W | 来自北航和微软的paper, 开源项目, 噪音相对较少，原本是多轮 (平均7.6轮) | [阿里云盘](https://www.aliyundrive.com/s/qXBdAYtz5j5); 提取码: 81ao |
+| ptt | [PTT中文語料](https://github.com/zake7749/Gossiping-Chinese-Corpus) | 77W | 开源项目, 台湾PTT论坛八卦版, 繁体, 语料较生活化, 有噪音 | [阿里云盘](https://www.aliyundrive.com/s/qXBdAYtz5j5); 提取码: 81ao |
+| subtitle | [电视剧对白语料](https://github.com/aceimnorstuvwxz/dgk_lost_conv) | 274W | 开源项目, 来自爬取的电影和美剧的字幕, 有一些噪音, 对白不一定是严谨的对话, 原本是多轮 (平均5.3轮) | [阿里云盘](https://www.aliyundrive.com/s/qXBdAYtz5j5); 提取码: 81ao |
+| tieba | [贴吧论坛回帖语料](https://pan.baidu.com/s/1mUknfwy1nhSM7XzH8xi7gQ); 密码:i4si | 232W | 多轮, 有噪音 | [阿里云盘](https://www.aliyundrive.com/s/qXBdAYtz5j5); 提取码: 81ao |
+| xiaohuangji | [小黄鸡语料](https://github.com/candlewill/Dialog_Corpus) | 45W | 原人人网项目语料, 有一些不雅对话, 少量噪音 | [阿里云盘](https://www.aliyundrive.com/s/qXBdAYtz5j5); 提取码: 81ao |
 
 
 <details>
 <summary>参考的数据来源,展开查看</summary>
 <pre>
 <code>
-https://github.com/yangjianxin1/GPT2-chitchat
+
 https://github.com/codemayq/chinese_chatbot_corpus
 
+https://github.com/yangjianxin1/GPT2-chitchat
+
 </code>
 </pre>
 </details>

chinese_chitchat.py

@@ -12,6 +12,7 @@ _URLS = {
     "chatterbot": "data/chatterbot.jsonl",
     "douban": "data/douban.jsonl",
     "ptt": "data/ptt.jsonl",
+    "subtitle": "data/subtitle.jsonl",
 
 }
 

data/subtitle.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d13b4c351cbf840214e09c82c7eaeaafa7894b2cb08e90865e45f1ae62244af
+size 31246730

examples/process/process_subtitle.py

@@ -0,0 +1,65 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import argparse
+import json
+from pathlib import Path
+
+import pandas as pd
+from tqdm import tqdm
+
+from project_settings import project_path
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "--data_dir",
+        default=(project_path / "original_data/dgk_lost_conv-master/results").as_posix(),
+        type=str
+    )
+    parser.add_argument(
+        "--output_file",
+        default=(project_path / "data/subtitle.jsonl"),
+        type=str
+    )
+
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    args = get_args()
+
+    data_dir = Path(args.data_dir)
+    with open(args.output_file, "w", encoding="utf-8") as fout:
+        for filename in tqdm(data_dir.glob("*.conv")):
+            with open(filename, "r", encoding="utf-8") as fin:
+                conversation = list()
+                for row in fin:
+                    splits = str(row).strip().split(maxsplit=1)
+
+                    if len(splits) == 1:
+                        if len(conversation) == 0:
+                            continue
+                        row_ = {
+                            "conversation": conversation,
+                            "category": filename.stem,
+                            "data_source": "subtitle",
+                        }
+                        row_ = json.dumps(row_, ensure_ascii=False)
+                        fout.write("{}\n".format(row_))
+                        conversation = list()
+                    else:
+                        message = splits[1]
+
+                        conversation.append({
+                            "role": "unknown",
+                            "message": message,
+                        })
+
+    return
+
+
+if __name__ == '__main__':
+    main()