diff --git a/training/poetry.lock b/training/poetry.lock
index 75801b9b..4dd5e0ef 100644
--- a/training/poetry.lock
+++ b/training/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "appdirs"
@@ -28,6 +28,57 @@ typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
 [package.extras]
 tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
 
+[[package]]
+name = "asttokens"
+version = "2.4.1"
+description = "Annotate AST trees with source code positions"
+optional = false
+python-versions = "*"
+files = [
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+    {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
+]
+
+[package.dependencies]
+six = ">=1.12.0"
+
+[package.extras]
+astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
+test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
+
+[[package]]
+name = "attrs"
+version = "23.2.0"
+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.extras]
+cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
+dev = ["attrs[tests]", "pre-commit"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
+tests = ["attrs[tests-no-zope]", "zope-interface"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+
+[[package]]
+name = "audioread"
+version = "3.0.1"
+description = "Multi-library, cross-platform audio decoding."
+optional = false
+python-versions = ">=3.6"
+files = [
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+    {file = "audioread-3.0.1.tar.gz", hash = "sha256:ac5460a5498c48bdf2e8e767402583a4dcd13f4414d286f42ce4379e8b35066d"},
+]
+
+[package.extras]
+test = ["tox"]
+
 [[package]]
 name = "boto3"
 version = "1.28.57"
@@ -66,6 +117,137 @@ urllib3 = ">=1.25.4,<1.27"
 [package.extras]
 crt = ["awscrt (==0.16.26)"]
 
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 version = "0.13.1"
@@ -292,6 +474,23 @@ files = [
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+
+[package.extras]
+test = ["pytest"]
+
 [[package]]
 name = "commonmark"
 version = "0.9.1"
@@ -306,6 +505,69 @@ files = [
 [package.extras]
 test = ["flake8 (==3.7.8)", "hypothesis (==3.55.3)"]
 
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+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.8.0)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
+
 [[package]]
 name = "cryptography"
 version = "41.0.6"
@@ -351,6 +613,32 @@ ssh = ["bcrypt (>=3.1.5)"]
 test = ["pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
 test-randomorder = ["pytest-randomly"]
 
+[[package]]
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+version = "0.12.1"
+description = "Composable style cycles"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
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+[package.extras]
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+tests = ["pytest", "pytest-cov", "pytest-xdist"]
+
+[[package]]
+name = "decorator"
+version = "5.1.1"
+description = "Decorators for Humans"
+optional = false
+python-versions = ">=3.5"
+files = [
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+
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 name = "distlib"
 version = "0.3.7"
@@ -430,6 +718,20 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
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+version = "2.0.1"
+description = "Get the currently executing AST node of a frame, and other information"
+optional = false
+python-versions = ">=3.5"
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+
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 version = "3.12.4"
@@ -465,6 +767,133 @@ google-cloud-firestore = {version = ">=2.9.1", markers = "platform_python_implem
 google-cloud-storage = ">=1.37.1"
 pyjwt = {version = ">=2.5.0", extras = ["crypto"]}
 
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+
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+fuse = ["fusepy"]
+gcs = ["gcsfs"]
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+github = ["requests"]
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 version = "1.19.1"
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+werkzeug = ">=0.5,<2.2.0 || >2.2.0,<2.2.1 || >2.2.1"
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+apigatewayv2 = ["PyYAML (>=5.1)"]
 appsync = ["graphql-core"]
 awslambda = ["docker (>=3.0.0)"]
 batch = ["docker (>=3.0.0)"]
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 ssm = ["PyYAML (>=5.1)"]
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+
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+type = ["mypy", "mypy-extensions"]
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+mypyc = ["setuptools (>=50)"]
+reports = ["lxml"]
+
 [[package]]
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 version = "1.0.0"
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+test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
+
 [[package]]
 name = "nodeenv"
 version = "1.8.0"
@@ -1185,6 +2262,40 @@ files = [
 [package.dependencies]
 setuptools = "*"
 
+[[package]]
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+version = "0.59.1"
+description = "compiling Python code using LLVM"
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+python-versions = ">=3.9"
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 version = "1.26.0"
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+fpx = ["olefile"]
+mic = ["olefile"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+typing = ["typing-extensions"]
+xmp = ["defusedxml"]
+
 [[package]]
 name = "platformdirs"
 version = "3.10.0"
@@ -1347,6 +2715,27 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
+[[package]]
+name = "pooch"
+version = "1.8.1"
+description = "\"Pooch manages your Python library's sample data files: it automatically downloads and stores them in a local directory, with support for versioning and corruption checks.\""
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
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+platformdirs = ">=2.5.0"
+requests = ">=2.19.0"
+
+[package.extras]
+progress = ["tqdm (>=4.41.0,<5.0.0)"]
+sftp = ["paramiko (>=2.7.0)"]
+xxhash = ["xxhash (>=1.4.3)"]
+
 [[package]]
 name = "pre-commit"
 version = "3.4.0"
@@ -1365,6 +2754,20 @@ nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
 
+[[package]]
+name = "prompt-toolkit"
+version = "3.0.43"
+description = "Library for building powerful interactive command lines in Python"
+optional = false
+python-versions = ">=3.7.0"
+files = [
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+]
+
+[package.dependencies]
+wcwidth = "*"
+
 [[package]]
 name = "proto-plus"
 version = "1.22.3"
@@ -1404,6 +2807,89 @@ files = [
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+[[package]]
+name = "psutil"
+version = "5.9.8"
+description = "Cross-platform lib for process and system monitoring in Python."
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+files = [
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+psutil = {version = "*", markers = "sys_platform != \"cygwin\""}
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+
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+test-compat = ["libarchive-c"]
+
 [[package]]
 name = "pyasn1"
 version = "0.5.0"
@@ -1429,6 +2915,71 @@ files = [
 [package.dependencies]
 pyasn1 = ">=0.4.6,<0.6.0"
 
+[[package]]
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+
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 [[package]]
 name = "pycparser"
 version = "2.21"
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 ]
 
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+numpy = ">=1.20,<1.24.0 || >1.24.0"
+pandas = ">=1.2"
+
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+dev = ["flake8", "flit", "mypy", "pandas-stubs", "pre-commit", "pytest", "pytest-cov", "pytest-xdist"]
+docs = ["ipykernel", "nbconvert", "numpydoc", "pydata_sphinx_theme (==0.10.0rc2)", "pyyaml", "sphinx (<6.0.0)", "sphinx-copybutton", "sphinx-design", "sphinx-issues"]
+stats = ["scipy (>=1.7)", "statsmodels (>=0.12)"]
+
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 version = "68.2.2"
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+nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+sympy = "*"
+triton = {version = "2.3.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+typing-extensions = ">=4.8.0"
+
+[package.extras]
+opt-einsum = ["opt-einsum (>=3.3)"]
+optree = ["optree (>=0.9.1)"]
+
+[[package]]
+name = "torchaudio"
+version = "2.3.0"
+description = "An audio package for PyTorch"
+optional = false
+python-versions = "*"
+files = [
+    {file = "torchaudio-2.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:342108da83aa19a457c9a128b1206fadb603753b51cca022b9f585aac2f4754c"},
+    {file = "torchaudio-2.3.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:73fedb2c631e01fa10feaac308540b836aefe758e55ca3ee026335e5d01e8e30"},
+    {file = "torchaudio-2.3.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:e5bb50b7a4874ed97086c9e516dd90b103d954edcb5ed4b36f4fc22c4000a5a7"},
+    {file = "torchaudio-2.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:b4cc9cef5c98ed37e9405c4e0b0e6413bc101f3f49d45dc4f1d4e927757fe41e"},
+    {file = "torchaudio-2.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:341ca3048ce6edcc731519b30187f0b13acb245c4efe16f925f69f9d533546e1"},
+    {file = "torchaudio-2.3.0-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:8f2e0a28740bb0ee66369f92c811f33c0a47e6fcfc2de9cee89746472d713906"},
+    {file = "torchaudio-2.3.0-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:61edb02ae9c0efea4399f9c1f899601136b24f35d430548284ea8eaf6ccbe3be"},
+    {file = "torchaudio-2.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:04bc960cf1aef3b469b095a432a25496bc28197850fc2d90b7b52d6b5255487b"},
+    {file = "torchaudio-2.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:535144a2fbba95fbb3b883224ffcf44788e4cecbabbe49c4a1ae3e7a74f71485"},
+    {file = "torchaudio-2.3.0-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:fb3f52ed1d63b272c240d9bf051705312cb172212051b8a6a2f64d42e3cc1633"},
+    {file = "torchaudio-2.3.0-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:668a8b694e5522cff28cd5e02d01aa1b75ce940aa9fb40480892bdc623b1735d"},
+    {file = "torchaudio-2.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:6c1f538018b85d7766835d042e555de2f096f7a69bba6b16031bf42a914dd9e1"},
+    {file = "torchaudio-2.3.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7ba93265455dc363385e98c0cfcaeb586b7401af8a2c824811ee1466134a4f30"},
+    {file = "torchaudio-2.3.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:21bb6d1b384fc8895133f01489133d575d4a715cd81734b89651fb0264bd8b80"},
+    {file = "torchaudio-2.3.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:ed1866f508dc689c4f682d330b2ed4c83108d35865e4fb89431819364d8ad9ed"},
+    {file = "torchaudio-2.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:a3cbb230e2bb38ad1a1dd74aea242a154a9f76ab819d9c058b2c5074a9f5d7d2"},
+    {file = "torchaudio-2.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f4b933776f20a36af5ddc57968fcb3da34dd03881db8d6760f3e1176803b9cf8"},
+    {file = "torchaudio-2.3.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:c5e63cc2dbf179088b6cdfd21ecdbb943aa003c780075aa440162f231ee72db2"},
+    {file = "torchaudio-2.3.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:d243bb8a1ee263c2cdafb9feed1569c3742d8135731e8f7818de12f4e0c83e28"},
+    {file = "torchaudio-2.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:6cd6d45cf8a45c89953e35434d9a461feb418e51e760adafc606a903dcbb9bd5"},
+]
+
+[package.dependencies]
+torch = "2.3.0"
+
+[[package]]
+name = "tqdm"
+version = "4.66.4"
+description = "Fast, Extensible Progress Meter"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
+    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[package.extras]
+dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
+notebook = ["ipywidgets (>=6)"]
+slack = ["slack-sdk"]
+telegram = ["requests"]
+
+[[package]]
+name = "traitlets"
+version = "5.14.3"
+description = "Traitlets Python configuration system"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
+    {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
+]
+
+[package.extras]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
+
+[[package]]
+name = "triton"
+version = "2.3.0"
+description = "A language and compiler for custom Deep Learning operations"
+optional = false
+python-versions = "*"
+files = [
+    {file = "triton-2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ce4b8ff70c48e47274c66f269cce8861cf1dc347ceeb7a67414ca151b1822d8"},
+    {file = "triton-2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c3d9607f85103afdb279938fc1dd2a66e4f5999a58eb48a346bd42738f986dd"},
+    {file = "triton-2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:218d742e67480d9581bafb73ed598416cc8a56f6316152e5562ee65e33de01c0"},
+    {file = "triton-2.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:381ec6b3dac06922d3e4099cfc943ef032893b25415de295e82b1a82b0359d2c"},
+    {file = "triton-2.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:038e06a09c06a164fef9c48de3af1e13a63dc1ba3c792871e61a8e79720ea440"},
+    {file = "triton-2.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d8f636e0341ac348899a47a057c3daea99ea7db31528a225a3ba4ded28ccc65"},
+]
+
+[package.dependencies]
+filelock = "*"
+
+[package.extras]
+build = ["cmake (>=3.20)", "lit"]
+tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
+tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
+
 [[package]]
 name = "types-pyyaml"
 version = "6.0.12.12"
@@ -2035,6 +4339,17 @@ platformdirs = ">=3.9.1,<4"
 docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
 test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
 
+[[package]]
+name = "wcwidth"
+version = "0.2.13"
+description = "Measures the displayed width of unicode strings in a terminal"
+optional = false
+python-versions = "*"
+files = [
+    {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
+    {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
+]
+
 [[package]]
 name = "werkzeug"
 version = "3.0.1"
@@ -2052,6 +4367,17 @@ MarkupSafe = ">=2.1.1"
 [package.extras]
 watchdog = ["watchdog (>=2.3)"]
 
+[[package]]
+name = "widgetsnbextension"
+version = "4.0.10"
+description = "Jupyter interactive widgets for Jupyter Notebook"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "widgetsnbextension-4.0.10-py3-none-any.whl", hash = "sha256:d37c3724ec32d8c48400a435ecfa7d3e259995201fbefa37163124a9fcb393cc"},
+    {file = "widgetsnbextension-4.0.10.tar.gz", hash = "sha256:64196c5ff3b9a9183a8e699a4227fb0b7002f252c814098e66c4d1cd0644688f"},
+]
+
 [[package]]
 name = "xmltodict"
 version = "0.13.0"
@@ -2063,7 +4389,22 @@ files = [
     {file = "xmltodict-0.13.0.tar.gz", hash = "sha256:341595a488e3e01a85a9d8911d8912fd922ede5fecc4dce437eb4b6c8d037e56"},
 ]
 
+[[package]]
+name = "zipp"
+version = "3.18.1"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
+    {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9, <3.10"
-content-hash = "8b1b00589461cdf8f8de272ee9d28bf234ff5cac75ba2b58251e3d53da8dee4a"
+content-hash = "e068232e86375aac8efd6b57d4fe4d9819f084b1d31fcb4da1424db82ba8368b"
diff --git a/training/pyproject.toml b/training/pyproject.toml
index b2175726..11588e13 100644
--- a/training/pyproject.toml
+++ b/training/pyproject.toml
@@ -19,6 +19,8 @@ requests = "^2.31.0"
 django-cors-headers = "^4.2.0"
 gunicorn = "^21.2.0"
 pytest = "^7.4.0"
+torchaudio = "^2.3.0"
+soundata = "^0.1.3"
 
 
 [tool.poetry.group.dev.dependencies]
diff --git a/training/training/core/dataset.py b/training/training/core/dataset.py
index c24e8fee..51ce01a2 100644
--- a/training/training/core/dataset.py
+++ b/training/training/core/dataset.py
@@ -17,6 +17,8 @@
 from enum import Enum
 import os
 import shutil
+import torchaudio
+import soundata
 
 
 class TrainTestDatasetCreator(ABC):
@@ -201,3 +203,80 @@ def createTestDataset(self) -> DataLoader:
 
     def getCategoryList(self) -> list[str]:
         return self.train_set.classes if hasattr(self.train_set, "classes") else []
+
+class UrbanSoundDataset(Dataset):
+    
+    def __init__(self, dataset, folderList):
+        # Initialize lists to hold file names, labels, and folder numbers
+        self.file_names = []
+        self.labels = []
+        self.folders = []
+        self.dataset = dataset
+        
+        # Loop through the dataset and only add entries from folders in the folder list
+        for clip in dataset.clip_ids:
+            clip_metadata = dataset.clip(clip)
+            fold = int(clip_metadata.subset.split('_')[1])  # Extract fold number
+            if fold in folderList:
+                self.file_names.append(clip_metadata.audio_path)
+                self.labels.append(clip_metadata.tags[0])  # Assuming the first tag is the label
+                self.folders.append(fold)
+        
+        self.folderList = folderList
+        
+    def __getitem__(self, index):
+        # Load the file
+        path = self.file_names[index]
+        sound, sample_rate = torchaudio.load(path)
+        
+        # Convert to mono if stereo. Otherwise, just take the first channel. 
+        # we need this bc the UrbanSound8k dataset is stereo, but torchaudio defaults to mono
+        if sound.size(0) > 1:
+            sound = torch.mean(sound, dim=0, keepdim=True)
+        
+        # Normalize the audio. Mean and std are calculated from the training set
+        sound = (sound - sound.mean()) / sound.std()
+
+        # Downsample the audio to ~8kHz
+        tempData = torch.zeros([160000, 1])  # tempData accounts for audio clips that are too short
+        if sound.numel() < 160000:
+            tempData[:sound.numel()] = sound[:]
+        else:
+            tempData[:] = sound[:160000]
+        
+        soundData = tempData
+        soundFormatted = torch.zeros([32000, 1])
+        soundFormatted[:32000] = soundData[::5]  # Take every fifth sample of soundData
+        soundFormatted = soundFormatted.permute(1, 0)
+        return soundFormatted, self.labels[index]
+    
+    def __len__(self):
+        return len(self.file_names)
+
+class UrbanSoundDatasetCreator(TrainTestDatasetCreator):
+    def __init__(self, folderList_train, folderList_test, batch_size=128, shuffle=True):
+        # Initialize and download the dataset using soundata
+        self.dataset = soundata.initialize('urbansound8k')
+        self.dataset.download()  # Download the dataset
+        
+        self.folderList_train = folderList_train
+        self.folderList_test = folderList_test
+        self.batch_size = batch_size
+        self.shuffle = shuffle
+
+        self.train_set = UrbanSoundDataset(self.dataset, self.folderList_train)
+        self.test_set = UrbanSoundDataset(self.dataset, self.folderList_test)
+    
+    @classmethod
+    def fromDefault(cls, batch_size=128, shuffle=True):
+        folderList_train = range(1, 10)
+        folderList_test = [10]
+        return cls(folderList_train, folderList_test, batch_size, shuffle)
+    
+    def createTrainDataset(self) -> DataLoader:
+        train_loader = DataLoader(self.train_set, batch_size=self.batch_size, shuffle=self.shuffle)
+        return train_loader
+
+    def createTestDataset(self) -> DataLoader:
+        test_loader = DataLoader(self.test_set, batch_size=self.batch_size, shuffle=self.shuffle)
+        return test_loader
\ No newline at end of file
diff --git a/training/training/routes/audio/schemas.py b/training/training/routes/audio/schemas.py
index e69de29b..f9d40fa2 100644
--- a/training/training/routes/audio/schemas.py
+++ b/training/training/routes/audio/schemas.py
@@ -0,0 +1,21 @@
+from typing import Any, Literal, Optional
+from training.core.dataset import UrbanSoundDatasetCreator
+from torch.optim import Adam
+from torch.nn import NLLLoss
+from ninja import Schema
+
+# no layer params
+
+# hardcode non tunable params into schema
+class AudioParams(Schema):
+    name: str
+    problem_type: Literal["CLASSIFICATION"]
+    default: UrbanSoundDatasetCreator
+    criterion: NLLLoss
+    optimizer_name: Adam 
+    shuffle: bool
+    epochs: int
+    test_size: float
+    batch_size: int
+    # TODO add user_arch
+    # user_arch: 
\ No newline at end of file