Update README.md

README.md

@@ -18,14 +18,29 @@ language:
 - **Finetuned from model :** llm-jp/llm-jp-3-13b
 
 # データセットは以下を使いました
-- dataset_files = [
 -    ichikara-instruction-003-001-1.json
-    ichikara-instruction-003-001-2.1.json
-    ichikara-instruction-003-001-2.2.json
-    ichikara-instruction-003-001-5.1.json
-    ichikara-instruction-003-001-5.2.json
-    ichikara-instruction-003-003-1.json
-]
+-    ichikara-instruction-003-001-2.1.json
+-    ichikara-instruction-003-001-2.2.json
+-    ichikara-instruction-003-001-5.1.json
+-    ichikara-instruction-003-001-5.2.json
+-    ichikara-instruction-003-003-1.json
+# jsonlファイルの出力方法は以下です
+import json
+from google.colab import files
+
+file_name = "elyza-tasks-results.jsonl"
+
+# JSON形式で保存 (改行コードをエスケープした状態)
+with open(file_name, "w", encoding="utf-8") as f:
+    json.dump(results, f, ensure_ascii=False)
+
+# 内容確認
+with open(file_name, 'w', encoding='utf-8') as f:
+    for result in results:
+        json.dump(result, f, ensure_ascii=False)
+        f.write('\n')
+
+files.download(file_name)
 
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.