diff --git a/internet_ml/tools/NLP/data/internet.py b/internet_ml/tools/NLP/data/internet.py
index 4f4c321..3b35073 100644
--- a/internet_ml/tools/NLP/data/internet.py
+++ b/internet_ml/tools/NLP/data/internet.py
@@ -1,4 +1,5 @@
-from typing import Any, Dict, List
+#type: ignore
+from typing import Any, Dict, List, Tuple
 
 import asyncio
 import logging
@@ -23,7 +24,8 @@ logging.basicConfig(
 import sys
 from pathlib import Path
 
-sys.path.append(str(Path(__file__).parent.parent.parent) + "/utils")
+sys.path.append(str(Path(__file__).parent.parent.parent.parent) + "/utils/NLP")
+sys.path.append(str(Path(__file__).parent.parent.parent.parent) + "/utils")
 import config
 
 sys.path.append(str(Path(__file__).parent.parent))
@@ -59,9 +61,10 @@ URL_EXTRACTOR = URLExtract()
 # Load the cache from the file (if it exists)
 try:
     with open(CACHE_FILE_PATH, "rb") as f:
-        cache = pickle.load(f)
+        cache: Any = pickle.load(f)
 except FileNotFoundError:
-    cache = {}
+    cache: Any = {}
+
 
 # Define the fetch_url function
 async def fetch_url(session: aiohttp.ClientSession, url: str) -> str:
@@ -87,11 +90,13 @@ async def google_urls(query: str, links: list[str]) -> list[str]:
 
     # Determine the number of results to retrieve based on the configuration mode
     num_of_res: int = (
-        5 if config.CONF_MODE == "speed" else (20 if config.CONF_MODE else 10)
+        5
+        if config.NLP_CONF_MODE == "speed"
+        else (20 if config.NLP_CONF_MODE == "accuracy" else 10)
     )
 
     # Log the number of results wanted (if debugging is enabled)
-    if config.CONF_DEBUG:
+    if config.NLP_CONF_DEBUG:
         logging.info(f"number of results wanted: {num_of_res}")
 
     # Construct the search URL
@@ -103,7 +108,7 @@ async def google_urls(query: str, links: list[str]) -> list[str]:
     )
 
     # Log the search URL (if debugging is enabled)
-    if config.CONF_DEBUG:
+    if config.NLP_CONF_DEBUG:
         logging.info(f"url: {search_url}")
 
     # Create an aiohttp session and use it to fetch the search results
@@ -126,7 +131,7 @@ async def google_urls(query: str, links: list[str]) -> list[str]:
                 not any(url.startswith(s) for s in UNWANTED_DOMAINS)
             ):
                 urls.append(url)
-                if config.CONF_DEBUG:
+                if config.NLP_CONF_DEBUG:
                     logging.info(f"added {url}")
             if len(urls) == num_of_res:
                 break
@@ -151,7 +156,7 @@ async def fetch_url_text(
         async with session.get(url, headers=HTTP_USERAGENT) as response:
             soup: BeautifulSoup = BeautifulSoup(await response.text(), "html.parser")
             text = normalizer(soup.get_text())
-            if config.CONF_DEBUG:
+            if config.NLP_CONF_DEBUG:
                 logging.info(f"Text: {text}")
             sentences: list[str] = sentencizer(text)
             sentences = filter_irrelevant(sentences, query)
@@ -181,38 +186,36 @@ async def get_text_content(urls: list[str], query: str) -> list[str]:
     return sentences
 
 
-def google(query: str) -> list[str]:
+def google(query: str) -> Tuple[List[str], str]:
     global cache, CACHE_FILE_PATH, CACHE_TIME, URL_EXTRACTOR
     links_in_text: list[str] = URL_EXTRACTOR.find_urls(query)
     query = re.sub(r"\w+:\/{2}[\d\w-]+(\.[\d\w-]+)*(?:(?:\/[^\s/]*))*", "", query)
     entry = cache.get(query)
     if entry is None:
         # no query exists, so add a new entry to the cache
-        text = asyncio.run(
-            get_text_content(asyncio.run(google_urls(query, links_in_text)), query)
-        )
-        cache[query] = (text, time.time() + CACHE_TIME)  # cache expires in one hour
+        urls: List[str] = asyncio.run(google_urls(query, links_in_text))
+        text: str = str(asyncio.run(get_text_content(urls, query)))
+        cache[query]: Tuple[Tuple[List[str], str], int] = (
+            (text, urls),
+            time.time() + CACHE_TIME,
+        )  # cache expires in one hour
     elif entry[1] < time.time():
         # update as it expired
-        text = asyncio.run(
-            get_text_content(asyncio.run(google_urls(query, links_in_text)), query)
-        )
-        cache[query] = (text, time.time() + CACHE_TIME)  # cache expires in one hour
+        urls: List[str] = asyncio.run(google_urls(query, links_in_text))
+        text: str = str(asyncio.run(get_text_content(urls, query)))
+        cache[query]: Tuple[Tuple[List[str], str], int] = (
+            (text, urls),
+            time.time() + CACHE_TIME,
+        )  # cache expires in one hour
     else:
         # available so return it
-        text = entry[0]
+        text: List[str] = entry[0][0]
+        urls: str = entry[0][1]
     # Save the cache to the file
     with open(CACHE_FILE_PATH, "wb") as f:
         pickle.dump(cache, f)
     # Return the text
-    return text
-
-
-print(
-    google(
-        "who is lionel messi https://en.wikipedia.org/wiki/Lionel_Messi https://en.wikipedia.org/wiki/Cristiano_Ronaldo https://www.instagram.com/leomessi/?hl=en"
-    )
-)
+    return (text, urls)
 
 
 """
diff --git a/internet_ml/tools/NLP/data/internet_cache.pkl b/internet_ml/tools/NLP/data/internet_cache.pkl
new file mode 100644
index 0000000..b90d6a1
Binary files /dev/null and b/internet_ml/tools/NLP/data/internet_cache.pkl differ
diff --git a/internet_ml/tools/NLP/data/is_relevant_cache.pkl b/internet_ml/tools/NLP/data/is_relevant_cache.pkl
new file mode 100644
index 0000000..b0ffe68
Binary files /dev/null and b/internet_ml/tools/NLP/data/is_relevant_cache.pkl differ
diff --git a/internet_ml/tools/NLP/ml/dataset/README.md b/internet_ml/tools/NLP/ml/dataset/README.md
new file mode 100644
index 0000000..730ecbf
--- /dev/null
+++ b/internet_ml/tools/NLP/ml/dataset/README.md
@@ -0,0 +1,6 @@
+# Datasets
+
+I will be using a combination of
+
+- CoQA (unmodified)
+- Natural Questions (modified to make context from answer)
\ No newline at end of file
diff --git a/internet_ml/tools/NLP/ml/dataset/long_QA.py b/internet_ml/tools/NLP/ml/dataset/long_QA.py
index e69de29..225e6a5 100644
--- a/internet_ml/tools/NLP/ml/dataset/long_QA.py
+++ b/internet_ml/tools/NLP/ml/dataset/long_QA.py
@@ -0,0 +1,11 @@
+import datasets
+from typing import Any
+
+CoQA: Any = datasets.load_dataset("coqa")
+DATASET: List[Any] = []
+
+def coqa():
+    global CoQA, DATASET
+    for story in CoQA["train"]:
+        for question, answer in story["questions"], story["answers"]:
+            
\ No newline at end of file
diff --git a/internet_ml/tools/NLP/normalize.py b/internet_ml/tools/NLP/normalize.py
index cb65ddd..1e216f9 100644
--- a/internet_ml/tools/NLP/normalize.py
+++ b/internet_ml/tools/NLP/normalize.py
@@ -18,12 +18,13 @@ import tokenizers
 from tokenizers.normalizers import NFKD, Lowercase, Strip, StripAccents
 
 # Add utils directory to path
-sys.path.append(str(Path(__file__).parent.parent) + "/utils")
+sys.path.append(str(Path(__file__).parent.parent.parent) + "/utils/NLP")
+sys.path.append(str(Path(__file__).parent.parent.parent) + "/utils")
 import config
 
 # Define normalization sequence
 NORMALIZER_SEQ: tokenizers.normalizers.Sequence = tokenizers.normalizers.Sequence(
-    [NFKD(), Strip(), StripAccents()]
+    [Lowercase(), NFKD(), Strip(), StripAccents()]
 )
 
 
@@ -66,7 +67,7 @@ def normalizer(text: str) -> str:
         .replace("               ", " ")
     )
     text = remove_non_ascii(text)
-    if config.CONF_DEBUG:
+    if config.NLP_CONF_DEBUG:
         logging.info(text)
     return text
 
diff --git a/internet_ml/tools/NLP/sentencize.py b/internet_ml/tools/NLP/sentencize.py
index 6c132aa..93f0487 100644
--- a/internet_ml/tools/NLP/sentencize.py
+++ b/internet_ml/tools/NLP/sentencize.py
@@ -14,7 +14,8 @@ import sys
 from pathlib import Path
 
 # Add utils directory to path
-sys.path.append(str(Path(__file__).parent.parent) + "/utils")
+sys.path.append(str(Path(__file__).parent.parent.parent) + "/utils/NLP")
+sys.path.append(str(Path(__file__).parent.parent.parent) + "/utils")
 import concurrent.futures
 
 import config
@@ -53,7 +54,7 @@ def sentencizer(text: str) -> list[str]:
         for future in concurrent.futures.as_completed(futures):
             english_sentences.append(future.result())
 
-    if config.CONF_DEBUG:
+    if config.NLP_CONF_DEBUG:
         logging.info(f"sentences: {english_sentences}")
     return english_sentences
 
diff --git a/internet_ml/utils/NLP/__init__.py b/internet_ml/utils/NLP/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/internet_ml/utils/config.py b/internet_ml/utils/config.py
index 21b9372..c87dd2c 100644
--- a/internet_ml/utils/config.py
+++ b/internet_ml/utils/config.py
@@ -1,5 +1,3 @@
-import typing
-
 import logging
 
 logging.basicConfig(
@@ -10,16 +8,16 @@ logging.basicConfig(
 )
 
 # Global
-CONF_DEBUG: bool = True
+NLP_CONF_DEBUG: bool = True
 # NLP
-CONF_MODE: str = "default"
+NLP_CONF_MODE: str = "default"
 
 
 def NLP_config(mode: str = "default", debug: bool = True) -> None:
     global conf_MODE, conf_DEBUG
-    CONF_DEBUG = debug
+    NLP_CONF_DEBUG = debug
     if mode == "accuracy" or mode == "speed":
-        CONF_MODE = mode
+        NLP_CONF_MODE = mode
     else:
-        if CONF_DEBUG:
+        if NLP_CONF_DEBUG:
             logging.warn(f"mode: {mode} does not exist")
diff --git a/poetry.lock b/poetry.lock
index 4cd8713..958b0c2 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -153,6 +153,18 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "appdirs"
+version = "1.4.4"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+category = "main"
+optional = false
+python-versions = "*"
+files = [
+    {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
+    {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
+]
+
 [[package]]
 name = "astroid"
 version = "2.12.13"
@@ -203,6 +215,17 @@ docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-
 tests = ["attrs[tests-no-zope]", "zope.interface"]
 tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"]
 
+[[package]]
+name = "audioread"
+version = "3.0.0"
+description = "multi-library, cross-platform audio decoding"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "audioread-3.0.0.tar.gz", hash = "sha256:121995bd207eb1fda3d566beb851d3534275925bc35a4fb6da0cb11de0f7251a"},
+]
+
 [[package]]
 name = "bandit"
 version = "1.7.4"
@@ -273,6 +296,83 @@ files = [
     {file = "certifi-2022.12.7.tar.gz", hash = "sha256:35824b4c3a97115964b408844d64aa14db1cc518f6562e8d7261699d1350a9e3"},
 ]
 
+[[package]]
+name = "cffi"
+version = "1.15.1"
+description = "Foreign Function Interface for Python calling C code."
+category = "main"
+optional = false
+python-versions = "*"
+files = [
+    {file = "cffi-1.15.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a66d3508133af6e8548451b25058d5812812ec3798c886bf38ed24a98216fab2"},
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+    {file = "cffi-1.15.1-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:9ad5db27f9cabae298d151c85cf2bad1d359a1b9c686a275df03385758e2f914"},
+    {file = "cffi-1.15.1-cp27-cp27m-win32.whl", hash = "sha256:b3bbeb01c2b273cca1e1e0c5df57f12dce9a4dd331b4fa1635b8bec26350bde3"},
+    {file = "cffi-1.15.1-cp27-cp27m-win_amd64.whl", hash = "sha256:e00b098126fd45523dd056d2efba6c5a63b71ffe9f2bbe1a4fe1716e1d0c331e"},
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+    {file = "cffi-1.15.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:98d85c6a2bef81588d9227dde12db8a7f47f639f4a17c9ae08e773aa9c697bf3"},
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+    {file = "cffi-1.15.1-cp39-cp39-win_amd64.whl", hash = "sha256:70df4e3b545a17496c9b3f41f5115e69a4f2e77e94e1d2a8e1070bc0c38c8a3c"},
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+]
+
+[package.dependencies]
+pycparser = "*"
+
 [[package]]
 name = "cfgv"
 version = "3.3.1"
@@ -453,6 +553,7 @@ aiohttp = "*"
 dill = "<0.3.7"
 fsspec = {version = ">=2021.11.1", extras = ["http"]}
 huggingface-hub = ">=0.2.0,<1.0.0"
+librosa = {version = "*", optional = true, markers = "extra == \"audio\""}
 multiprocess = "*"
 numpy = ">=1.17"
 packaging = "*"
@@ -479,6 +580,18 @@ tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch
 torch = ["torch"]
 vision = ["Pillow (>=6.2.1)"]
 
+[[package]]
+name = "decorator"
+version = "5.1.1"
+description = "Decorators for Humans"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
+    {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
+]
+
 [[package]]
 name = "diffusers"
 version = "0.11.1"
@@ -889,6 +1002,18 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "joblib"
+version = "1.2.0"
+description = "Lightweight pipelining with Python functions"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "joblib-1.2.0-py3-none-any.whl", hash = "sha256:091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385"},
+    {file = "joblib-1.2.0.tar.gz", hash = "sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018"},
+]
+
 [[package]]
 name = "lazy-object-proxy"
 version = "1.8.0"
@@ -918,6 +1043,62 @@ files = [
     {file = "lazy_object_proxy-1.8.0-pp39-pypy39_pp73-any.whl", hash = "sha256:ce58b2b3734c73e68f0e30e4e725264d4d6be95818ec0a0be4bb6bf9a7e79aa8"},
 ]
 
+[[package]]
+name = "librosa"
+version = "0.9.2"
+description = "Python module for audio and music processing"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "librosa-0.9.2-py3-none-any.whl", hash = "sha256:322a813e6d37af9fbc369e6a637dcf5fdc5c6925ce806a0d27c68de61a81350f"},
+    {file = "librosa-0.9.2.tar.gz", hash = "sha256:5b576b5efdce428e90bc988bdd5a953d12a727e5f931f30d74c53b63abbe3c89"},
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+
+[package.dependencies]
+audioread = ">=2.1.9"
+decorator = ">=4.0.10"
+joblib = ">=0.14"
+numba = ">=0.45.1"
+numpy = ">=1.17.0"
+packaging = ">=20.0"
+pooch = ">=1.0"
+resampy = ">=0.2.2"
+scikit-learn = ">=0.19.1"
+scipy = ">=1.2.0"
+soundfile = ">=0.10.2"
+
+[package.extras]
+display = ["matplotlib (>=3.3.0)"]
+docs = ["ipython (>=7.0)", "matplotlib (>=3.3.0)", "mir-eval (>=0.5)", "numba (<0.50)", "numpydoc", "presets", "sphinx (!=1.3.1)", "sphinx-gallery (>=0.7)", "sphinx-multiversion (>=0.2.3)", "sphinx-rtd-theme (>=1.0.0,<2.0.0)", "sphinxcontrib-svg2pdfconverter"]
+tests = ["contextlib2", "matplotlib (>=3.3.0)", "pytest", "pytest-cov", "pytest-mpl", "samplerate", "soxr"]
+
+[[package]]
+name = "llvmlite"
+version = "0.34.0"
+description = "lightweight wrapper around basic LLVM functionality"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
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+    {file = "llvmlite-0.34.0.tar.gz", hash = "sha256:f03ee0d19bca8f2fe922bb424a909d05c28411983b0c2bc58b020032a0d11f63"},
+]
+
 [[package]]
 name = "markdown"
 version = "3.3.7"
@@ -1224,6 +1405,37 @@ files = [
 [package.dependencies]
 setuptools = "*"
 
+[[package]]
+name = "numba"
+version = "0.51.2"
+description = "compiling Python code using LLVM"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
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+    {file = "numba-0.51.2-cp36-cp36m-manylinux2014_x86_64.whl", hash = "sha256:9e2bb1f129bfadd757ad7a9c18ab79c3ab25ce6d6a68e58565d6c52ad07b3566"},
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+    {file = "numba-0.51.2-cp36-cp36m-win_amd64.whl", hash = "sha256:df6edca13c04a31fdb5addf5205199478a7da372712829157ef491e8a6e7031f"},
+    {file = "numba-0.51.2-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:a628122dacfcba9a3ea68a9e95578c6b6391016e34962c46550ea8e189e0412e"},
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+    {file = "numba-0.51.2-cp38-cp38-win_amd64.whl", hash = "sha256:259e7c15b24feec4a99fb41eb8c47b5ad49b544d1a5ad40ad0252ef531ba06fd"},
+    {file = "numba-0.51.2.tar.gz", hash = "sha256:16bd59572114adbf5f600ea383880d7b2071ae45477e84a24994e089ea390768"},
+]
+
+[package.dependencies]
+llvmlite = ">=0.34.0.dev0,<0.35"
+numpy = ">=1.15"
+setuptools = "*"
+
 [[package]]
 name = "numpy"
 version = "1.24.0"
@@ -1521,6 +1733,28 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
+[[package]]
+name = "pooch"
+version = "1.6.0"
+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.\""
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "pooch-1.6.0-py3-none-any.whl", hash = "sha256:3bf0e20027096836b8dbce0152dbb785a269abeb621618eb4bdd275ff1e23c9c"},
+    {file = "pooch-1.6.0.tar.gz", hash = "sha256:57d20ec4b10dd694d2b05bb64bc6b109c6e85a6c1405794ce87ed8b341ab3f44"},
+]
+
+[package.dependencies]
+appdirs = ">=1.3.0"
+packaging = ">=20.0"
+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 = "2.20.0"
@@ -1618,6 +1852,18 @@ files = [
 [package.dependencies]
 numpy = ">=1.16.6"
 
+[[package]]
+name = "pycparser"
+version = "2.21"
+description = "C parser in Python"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"},
+    {file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"},
+]
+
 [[package]]
 name = "pydocstyle"
 version = "6.1.1"
@@ -1997,6 +2243,27 @@ urllib3 = ">=1.21.1,<1.27"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "resampy"
+version = "0.3.1"
+description = "Efficient signal resampling"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
+    {file = "resampy-0.3.1-py3-none-any.whl", hash = "sha256:b09066c8f0eb0418d59963aca23b79b52d0ace0b8a6de0fce082e6771f7c3f68"},
+    {file = "resampy-0.3.1.tar.gz", hash = "sha256:7ed185b0912e1d913902a6a1ff7e3b8d977eb5bdd5663012276512ef09a8f701"},
+]
+
+[package.dependencies]
+numba = ">=0.47"
+numpy = ">=1.17"
+
+[package.extras]
+design = ["optuna (>=2.10.0)"]
+docs = ["numpydoc", "sphinx (!=1.3.1)"]
+tests = ["pytest (<8)", "pytest-cov", "scipy (>=1.0)"]
+
 [[package]]
 name = "responses"
 version = "0.18.0"
@@ -2123,6 +2390,88 @@ setuptools = ">=19.3"
 github = ["jinja2 (>=3.1.0)", "pygithub (>=1.43.3)"]
 gitlab = ["python-gitlab (>=1.3.0)"]
 
+[[package]]
+name = "scikit-learn"
+version = "1.2.0"
+description = "A set of python modules for machine learning and data mining"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "scikit-learn-1.2.0.tar.gz", hash = "sha256:680b65b3caee469541385d2ca5b03ff70408f6c618c583948312f0d2125df680"},
+    {file = "scikit_learn-1.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1beaa631434d1f17a20b1eef5d842e58c195875d2bc11901a1a70b5fe544745b"},
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