Update README.md

README.md

@@ -7,84 +7,6 @@ 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。
-ファインチューニングで使用する場合はこちらのコードで変換して下さい。
-
-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