From 3a1ce5963b67413b5d274895a1156e20dc30c3be Mon Sep 17 00:00:00 2001
From: marcoyang1998 <45973641+marcoyang1998@users.noreply.github.com>
Date: Tue, 29 Aug 2023 16:39:48 +0800
Subject: [PATCH] Minor fix for documentation (#1229)

---
 docs/source/decoding-with-langugage-models/LODR.rst          | 5 ++++-
 docs/source/decoding-with-langugage-models/rescoring.rst     | 5 ++++-
 .../source/decoding-with-langugage-models/shallow-fusion.rst | 5 ++++-
 3 files changed, 12 insertions(+), 3 deletions(-)

diff --git a/docs/source/decoding-with-langugage-models/LODR.rst b/docs/source/decoding-with-langugage-models/LODR.rst
index b6625ee1d..8cc1a624c 100644
--- a/docs/source/decoding-with-langugage-models/LODR.rst
+++ b/docs/source/decoding-with-langugage-models/LODR.rst
@@ -71,9 +71,12 @@ As the initial step, let's download the pre-trained model.
 .. code-block:: bash
 
     $ GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Zengwei/icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29
-    $ pushd icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29/exp
+    $ cd icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29/exp
     $ git lfs pull --include "pretrained.pt"
     $ ln -s pretrained.pt epoch-99.pt # create a symbolic link so that the checkpoint can be loaded
+    $ cd ../data/lang_bpe_500
+    $ git lfs pull --include bpe.model
+    $ cd ../../..
 
 To test the model, let's have a look at the decoding results **without** using LM. This can be done via the following command:
 
diff --git a/docs/source/decoding-with-langugage-models/rescoring.rst b/docs/source/decoding-with-langugage-models/rescoring.rst
index 02eba9129..4cabaa432 100644
--- a/docs/source/decoding-with-langugage-models/rescoring.rst
+++ b/docs/source/decoding-with-langugage-models/rescoring.rst
@@ -34,9 +34,12 @@ As the initial step, let's download the pre-trained model.
 .. code-block:: bash
 
     $ GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Zengwei/icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29
-    $ pushd icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29/exp
+    $ cd icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29/exp
     $ git lfs pull --include "pretrained.pt"
     $ ln -s pretrained.pt epoch-99.pt # create a symbolic link so that the checkpoint can be loaded
+    $ cd ../data/lang_bpe_500
+    $ git lfs pull --include bpe.model
+    $ cd ../../..
 
 As usual, we first test the model's performance without external LM. This can be done via the following command:
 
diff --git a/docs/source/decoding-with-langugage-models/shallow-fusion.rst b/docs/source/decoding-with-langugage-models/shallow-fusion.rst
index f15e3f1d9..684fefeb4 100644
--- a/docs/source/decoding-with-langugage-models/shallow-fusion.rst
+++ b/docs/source/decoding-with-langugage-models/shallow-fusion.rst
@@ -32,9 +32,12 @@ As the initial step, let's download the pre-trained model.
 .. code-block:: bash
 
     $ GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Zengwei/icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29
-    $ pushd icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29/exp
+    $ cd icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29/exp
     $ git lfs pull --include "pretrained.pt"
     $ ln -s pretrained.pt epoch-99.pt # create a symbolic link so that the checkpoint can be loaded
+    $ cd ../data/lang_bpe_500
+    $ git lfs pull --include bpe.model
+    $ cd ../../..
 
 To test the model, let's have a look at the decoding results without using LM. This can be done via the following command: