Update README.md

README.md

@@ -7,6 +7,84 @@ This dataset was created by automatically translating "OpenAssistant/oasst1" int
 The "ng_translation" flag indicates that the translation was not successful, and "1" means that the translation failed.   
 Therefore, for data with "1", "text" and "text_en" contain the same text.  
 
+以下のコードを用いることで、 Instruction と Output （prompterの命令とassistantの回答）の形式に変換することができます。
+
+変換コード参考  
+https://github.com/h2oai/h2o-llmstudio/blob/5ebfd3879e226b4e1afd0a0b45eb632e60412129/app_utils/utils.py#L1888
+
+```python
+pip install huggingface-hub
+pip install datasets
+```
+
+```python
+from datasets import load_dataset
+import pandas as pd
+import os
+import json
+
+
+# oasst1のオリジナルデータのロード
+ds = load_dataset("OpenAssistant/oasst1")
+train = ds["train"].to_pandas()
+val = ds["validation"].to_pandas()
+
+df_origin = pd.concat([train, val], axis=0).reset_index(drop=True)
+
+# oasst1日本語翻訳データの読み込み
+df_ja = pd.read_json("oasst1_ja_89k.json")
+
+# oasst1のオリジナルデータと日本語翻訳データのマージ
+df = pd.merge(df_origin, df_ja[["message_id", "text_ja"]], on="message_id", how="left").copy()
+df["text"] = df["text_ja"]
+
+df_assistant = df[(df.role == "assistant")].copy()
+df_prompter = df[(df.role == "prompter")].copy()
+df_prompter = df_prompter.set_index("message_id")
+df_assistant["output"] = df_assistant["text"].values
+
+inputs = []
+parent_ids = []
+for _, row in df_assistant.iterrows():
+    input = df_prompter.loc[row.parent_id]
+    inputs.append(input.text)
+    parent_ids.append(input.parent_id)
+
+df_assistant["instruction"] = inputs
+df_assistant["parent_id"] = parent_ids
+
+df_assistant = df_assistant[
+    ["instruction", "output", "message_id", "parent_id", "lang", "rank"]
+].rename(columns={"message_id": "id"})
+
+
+# 翻訳タスクのみデータに異常があるので除外
+df_assistant2 = df_assistant[~df_assistant["instruction"].str.contains("翻訳")]
+
+
+# これ以下でjsonファイルへ書き出し---------------
+
+learn_datas = []
+input_list = []
+
+for n in range(len(df_assistant2)):
+    learn_data = {
+        "instruction": str(df_assistant2.iloc[n, 0]),
+        "input": "",
+        "output": ""
+    }
+
+    input_list.append(df_assistant2.iloc[n, 0])
+    learn_data["input"] = ""
+    learn_data["output"] = str(df_assistant2.iloc[n, 1])
+
+    learn_datas.append(learn_data)
+
+json_learn_data = json.dumps(learn_datas, indent=4, ensure_ascii=False)
+with open('oasst1_ja_51k_converted.json', 'w', encoding="utf-8") as f:
+    f.write(json_learn_data)
+```
+
 oasst1-ja-89k Repository  
 https://github.com/kunishou/oasst1-89k-ja