[update]add data

README.md

@@ -16,6 +16,7 @@ size_categories:
 | :--- |     :---:      |   :---:  |  :---:    |     :---:     |
 | 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 |  |
 
 
 <details>

chinese_chitchat.py

@@ -11,6 +11,7 @@ import datasets
 _URLS = {
     "chatterbot": "data/chatterbot.jsonl",
     "douban": "data/douban.jsonl",
+    "ptt": "data/ptt.jsonl",
 
 }
 

data/ptt.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:731c515b1e3726637bdb07171af9c2d935b3989eaadea2ce3cf1112b8eb6d461
+size 161955508

examples/process/process_ptt.py

@@ -0,0 +1,62 @@
+#!/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_file",
+        default=(project_path / "original_data/Gossiping-Chinese-Corpus-master/data/Gossiping-QA-Dataset-2_0.csv").as_posix(),
+        type=str
+    )
+    parser.add_argument(
+        "--output_file",
+        default=(project_path / "data/ptt.jsonl"),
+        type=str
+    )
+
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    args = get_args()
+
+    df = pd.read_csv(args.data_file)
+
+    with open(args.output_file, "w", encoding="utf-8") as fout:
+        for i, row in df.iterrows():
+            question = row["question"]
+            answer = row["answer"]
+
+            row = {
+                "conversation": [
+                    {
+                        "role": "human",
+                        "message": question,
+                    },
+                    {
+                        "role": "assistant",
+                        "message": answer,
+                    },
+                ],
+                "category": None,
+                "data_source": "ptt",
+            }
+            row = json.dumps(row, ensure_ascii=False)
+            fout.write("{}\n".format(row))
+
+    return
+
+
+if __name__ == '__main__':
+    main()

main.py

@@ -0,0 +1,16 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+from datasets import load_dataset
+
+dataset = load_dataset(
+    "chinese_chitchat.py",
+    name="chatterbot",
+    split="train",
+)
+
+for sample in dataset:
+    print(sample)
+
+
+if __name__ == '__main__':
+    pass