Update scripts

.run/prep_data.run.xml

@@ -1,5 +1,5 @@
 <component name="ProjectRunConfigurationManager">
-  <configuration default="false" name="prep_data" type="PythonConfigurationType" factoryName="Python" nameIsGenerated="true">
+  <configuration default="false" name="prep_push_to_hf" type="PythonConfigurationType" factoryName="Python" nameIsGenerated="true">
     <module name="kendex" />
     <option name="INTERPRETER_OPTIONS" value="" />
     <option name="PARENT_ENVS" value="true" />
@@ -31,7 +31,7 @@
       <option name="region" />
       <option name="useCurrentConnection" value="false" />
     </EXTENSION>
-    <option name="SCRIPT_NAME" value="$PROJECT_DIR$/scripts/prep_data.py" />
+    <option name="SCRIPT_NAME" value="$PROJECT_DIR$/scripts/prep_push_to_hf.py" />
     <option name="PARAMETERS" value="" />
     <option name="SHOW_COMMAND_LINE" value="false" />
     <option name="EMULATE_TERMINAL" value="false" />

scripts/fetch_data.py

@@ -1,26 +0,0 @@
-#!/usr/bin/env python3
-
-import os
-import boto3
-import tarfile
-from pathlib import Path
-
-DATASET = "kendex.tar.gz"
-
-repo_root = Path(__file__).resolve().parent.parent
-
-local_path = os.path.join(repo_root, "data", DATASET)
-
-if not Path(local_path).exists():
-    s3 = boto3.resource("s3")
-    kendex = s3.Bucket("kendex")
-    kendex.download_file(DATASET, local_path)
-    print("downloaded")
-
-expanded_path = os.path.join(repo_root, "data", "kendex")
-
-if not Path(expanded_path).exists():
-    file = tarfile.open(local_path)
-    file.extractall(expanded_path)
-    file.close()
-    print("untar'd, gunzip'd")

scripts/pack_push_to_s3.sh

@@ -0,0 +1,11 @@
+#!/usr/bin/env bash
+
+KENDEX_TARBALL="Kendex.tar.gz"
+
+tar -czf "$KENDEX_TARBALL" \
+  --exclude="*DS_Store" \
+  --exclude="**_bak**" \
+  --include="**Kendex**" \
+  --directory="$HOME/Data/Kendex/Datasets" Kendex
+
+aws s3 cp "./$KENDEX_TARBALL" "s3://kendex/$KENDEX_TARBALL"

scripts/{prep_data.py → prep_push_to_hf.py}

@@ -6,16 +6,18 @@ import huggingface_hub
 from datasets import Audio, Dataset
 import pandas as pd
 
-repo_root = Path(__file__).resolve().parent.parent
+repo_dir = Path(__file__).resolve().parent.parent
+data_dir = os.path.join(repo_dir, "data")
+kendex_dir = os.path.join(data_dir, "Kendex")
+audio_dir = os.path.join(kendex_dir, "wavs")
+metadata = os.path.join(kendex_dir, "metadata.csv")
 
-metadata = os.path.join(repo_root, "data", "kendex", "metadata.csv")
-wavs = os.path.join(repo_root, "data", "kendex", "wavs")
 df = pd.read_csv(metadata, delimiter="|", header=None)
 
 dataset = Dataset.from_pandas(
     pd.DataFrame(
         {
-            "audio": pd.Series([os.path.join(wavs, f"{f}.wav") for f in df[0]]),
+            "audio": pd.Series([os.path.join(audio_dir, f"{f}.wav") for f in df[0]]),
             "text": df[1],
         }
     )

scripts/pull_from_s3.py

@@ -0,0 +1,24 @@
+#!/usr/bin/env python3
+
+import os
+import boto3
+import tarfile
+from pathlib import Path
+
+KENDEX_TARBALL = "Kendex.tar.gz"
+
+repo_dir = Path(__file__).resolve().parent.parent
+data_dir = os.path.join(repo_dir, "data")
+kendex_dir = os.path.join(data_dir, "Kendex")
+
+if not Path(os.path.join(data_dir, KENDEX_TARBALL)).exists():
+    s3 = boto3.resource("s3")
+    kendex = s3.Bucket("kendex")
+    kendex.download_file(KENDEX_TARBALL, os.path.join(data_dir, KENDEX_TARBALL))
+    print(f"downloaded {KENDEX_TARBALL}")
+
+if not Path(kendex_dir).exists():
+    file = tarfile.open(os.path.join(data_dir, KENDEX_TARBALL))
+    file.extractall(data_dir)
+    file.close()
+    print(f"extracted {KENDEX_TARBALL}")