From 7b05594edbe0b32f3a0d9f71d413763c27dd9fdc Mon Sep 17 00:00:00 2001
From: D-X-Y <280835372@qq.com>
Date: Sat, 21 Dec 2019 11:28:41 +1100
Subject: [PATCH] update NAS-Bench-102

---
 NAS-Bench-102.md | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/NAS-Bench-102.md b/NAS-Bench-102.md
index d4e2213..dd75cc9 100644
--- a/NAS-Bench-102.md
+++ b/NAS-Bench-102.md
@@ -12,9 +12,13 @@ In this Markdown file, we provide:
 
 Note: please use `PyTorch >= 1.2.0` and `Python >= 3.6.0`.
 
-The data file of NAS-Bench-102 can be downloaded from [Google Drive](https://drive.google.com/open?id=1SKW0Cu0u8-gb18zDpaAGi0f74UdXeGKs) or [Baidu-Wangpan].
+### Preparation and Download
+
+The benchmark file of NAS-Bench-102 can be downloaded from [Google Drive](https://drive.google.com/open?id=1SKW0Cu0u8-gb18zDpaAGi0f74UdXeGKs) or [Baidu-Wangpan].
+You can move it to anywhere you want and send its path to our API for initialization.
 
 The training and evaluation data used in NAS-Bench-102 can be downloaded from [Google Drive](https://drive.google.com/open?id=1L0Lzq8rWpZLPfiQGd6QR8q5xLV88emU7) or [Baidu-Wangpan].
+It is recommended to put these data into `$TORCH_HOME` (`~/.torch/` by default). If you want to generate NAS-Bench-102 or similar NAS datasets or training models by yourself, you need these data.
 
 ## How to Use NAS-Bench-102