diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 9eb7e403c..c22f2edb5 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -108,4 +108,4 @@ jobs:
       - uses: actions/upload-artifact@v4
         with:
           path: egs/librispeech/ASR/zipformer/swoosh.pdf
-          name: swoosh.pdf
+          name: swoosh-${{ matrix.python-version }}-${{ matrix.torch-version }}
diff --git a/egs/alimeeting/ASR/prepare.sh b/egs/alimeeting/ASR/prepare.sh
index 996a1da2d..55f9f019b 100755
--- a/egs/alimeeting/ASR/prepare.sh
+++ b/egs/alimeeting/ASR/prepare.sh
@@ -87,7 +87,7 @@ fi
 if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then
   log "Stage 3: Prepare musan manifest"
   # We assume that you have downloaded the musan corpus
-  # to data/musan
+  # to $dl_dir/musan
   if [ ! -f data/manifests/.musan_manifests.done ]; then
     log "It may take 6 minutes"
     mkdir -p data/manifests
diff --git a/egs/alimeeting/ASR_v2/local/prepare_alimeeting_gss.sh b/egs/alimeeting/ASR_v2/local/prepare_alimeeting_gss.sh
index 76db19832..bd25bc9e5 100755
--- a/egs/alimeeting/ASR_v2/local/prepare_alimeeting_gss.sh
+++ b/egs/alimeeting/ASR_v2/local/prepare_alimeeting_gss.sh
@@ -58,7 +58,7 @@ if [ $stage -le 4 ]; then
   # for train, we use smaller context and larger batches to speed-up processing
   for JOB in $(seq $nj); do
     gss enhance cuts $EXP_DIR/cuts_train.jsonl.gz \
-      $EXP_DIR/cuts_per_segment_train_split$nj/cuts_per_segment_train.JOB.jsonl.gz $EXP_DIR/enhanced \
+      $EXP_DIR/cuts_per_segment_train_split$nj/cuts_per_segment_train.$JOB.jsonl.gz $EXP_DIR/enhanced \
       --bss-iterations 10 \
       --context-duration 5.0 \
       --use-garbage-class \
@@ -77,7 +77,7 @@ if [ $stage -le 5 ]; then
   for part in eval test; do
     for JOB in $(seq $nj); do
       gss enhance cuts $EXP_DIR/cuts_${part}.jsonl.gz \
-      $EXP_DIR/cuts_per_segment_${part}_split$nj/cuts_per_segment_${part}.JOB.jsonl.gz \
+      $EXP_DIR/cuts_per_segment_${part}_split$nj/cuts_per_segment_${part}.$JOB.jsonl.gz \
       $EXP_DIR/enhanced \
       --bss-iterations 10 \
       --context-duration 15.0 \
diff --git a/egs/alimeeting/ASR_v2/prepare.sh b/egs/alimeeting/ASR_v2/prepare.sh
index 15c20692d..1881cd75c 100755
--- a/egs/alimeeting/ASR_v2/prepare.sh
+++ b/egs/alimeeting/ASR_v2/prepare.sh
@@ -65,7 +65,7 @@ fi
 if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then
   log "Stage 2: Prepare musan manifest"
   # We assume that you have downloaded the musan corpus
-  # to data/musan
+  # to $dl_dir/musan
   mkdir -p data/manifests
   lhotse prepare musan $dl_dir/musan data/manifests
 fi
diff --git a/egs/alimeeting/ASR_v2/pruned_transducer_stateless7/asr_datamodule.py b/egs/alimeeting/ASR_v2/pruned_transducer_stateless7/asr_datamodule.py
index 6b56c8a6a..9da820315 100644
--- a/egs/alimeeting/ASR_v2/pruned_transducer_stateless7/asr_datamodule.py
+++ b/egs/alimeeting/ASR_v2/pruned_transducer_stateless7/asr_datamodule.py
@@ -82,7 +82,7 @@ class AlimeetingAsrDataModule:
         group.add_argument(
             "--manifest-dir",
             type=Path,
-            default=Path("data/manifests"),
+            default=Path("data/fbank"),
             help="Path to directory with train/valid/test cuts.",
         )
         group.add_argument(
@@ -327,9 +327,11 @@ class AlimeetingAsrDataModule:
     def test_dataloaders(self, cuts: CutSet) -> DataLoader:
         logging.debug("About to create test dataset")
         test = K2SpeechRecognitionDataset(
-            input_strategy=OnTheFlyFeatures(Fbank(FbankConfig(num_mel_bins=80)))
-            if self.args.on_the_fly_feats
-            else PrecomputedFeatures(),
+            input_strategy=(
+                OnTheFlyFeatures(Fbank(FbankConfig(num_mel_bins=80)))
+                if self.args.on_the_fly_feats
+                else PrecomputedFeatures()
+            ),
             return_cuts=True,
         )
         sampler = DynamicBucketingSampler(
diff --git a/egs/ami/ASR/local/prepare_ami_gss.sh b/egs/ami/ASR/local/prepare_ami_gss.sh
index d5422458b..414c22b12 100755
--- a/egs/ami/ASR/local/prepare_ami_gss.sh
+++ b/egs/ami/ASR/local/prepare_ami_gss.sh
@@ -58,7 +58,7 @@ if [ $stage -le 4 ]; then
   # for train, we use smaller context and larger batches to speed-up processing
   for JOB in $(seq $nj); do
     gss enhance cuts $EXP_DIR/cuts_train.jsonl.gz \
-      $EXP_DIR/cuts_per_segment_train_split$nj/cuts_per_segment_train.JOB.jsonl.gz $EXP_DIR/enhanced \
+      $EXP_DIR/cuts_per_segment_train_split$nj/cuts_per_segment_train.$JOB.jsonl.gz $EXP_DIR/enhanced \
       --bss-iterations 10 \
       --context-duration 5.0 \
       --use-garbage-class \
@@ -77,7 +77,7 @@ if [ $stage -le 5 ]; then
   for part in dev test; do
     for JOB in $(seq $nj); do
       gss enhance cuts $EXP_DIR/cuts_${part}.jsonl.gz \
-      $EXP_DIR/cuts_per_segment_${part}_split$nj/cuts_per_segment_${part}.JOB.jsonl.gz \
+      $EXP_DIR/cuts_per_segment_${part}_split$nj/cuts_per_segment_${part}.$JOB.jsonl.gz \
       $EXP_DIR/enhanced \
       --bss-iterations 10 \
       --context-duration 15.0 \