diff --git a/.github/workflows/code_quality.yml b/.github/workflows/code_quality.yml
new file mode 100644
index 0000000..6762019
--- /dev/null
+++ b/.github/workflows/code_quality.yml
@@ -0,0 +1,23 @@
+name: Code quality
+
+on:
+    push:
+        branches: [ main ]
+    pull_request:
+        branches: [ main ]
+
+jobs:
+    build:
+        runs-on: ubuntu-latest
+        steps:
+            - uses: actions/checkout@v2
+            - name: Set up Python 3.8
+              uses: actions/setup-python@v2
+              with:
+                  python-version: 3.8
+            - name: Install dependencies
+              run: |
+                  python -m pip install -U pip
+                  python -m pip install -r requirements-dev.txt
+            - name: Check code quality
+              run: make quality
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
new file mode 100644
index 0000000..d901dc3
--- /dev/null
+++ b/.github/workflows/test.yml
@@ -0,0 +1,25 @@
+name: Test
+
+on:
+    push:
+        branches: [main]
+    pull_request:
+        branches: [main]
+
+jobs:
+    test:
+        name: Test
+        runs-on: ubuntu-latest
+        steps:
+            - uses: actions/checkout@v2
+            - name: Set up Python 3.8
+              uses: actions/setup-python@v2
+              with:
+                  python-version: 3.8
+            - name: Install dependencies
+              run: |
+                  python -m pip install -U pip
+                  python -m pip install .
+                  python -m pip install -r requirements-dev.txt
+            - name: Test
+              run: python -m pytest tests
diff --git a/Makefile b/Makefile
new file mode 100644
index 0000000..fc01e56
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,12 @@
+.PHONY: quality style
+
+check_dirs := .
+
+quality: # Check that source code meets quality standards
+	black --check $(check_dirs)
+	isort --check-only $(check_dirs)
+	flake8 $(check_dirs) --max-line-length 119
+
+style: # Format source code automatically
+	black $(check_dirs)
+	isort $(check_dirs)
diff --git a/evaluation/eval.py b/evaluation/eval.py
index 1c9be0a..e9e080c 100644
--- a/evaluation/eval.py
+++ b/evaluation/eval.py
@@ -1,17 +1,12 @@
+import os
 from dataclasses import dataclass, field
 from datetime import datetime
-from typing import Optional, List
-import os
+from typing import List, Optional
 
 import torch
-from transformers import (
-    HfArgumentParser,
-    AutoTokenizer,
-    AutoModelForCausalLM,
-    TrainingArguments,
-    set_seed,
-)
-import evaluation.tasks  # needed for AutoTask.__subclass__() to work correctly
+from transformers import AutoModelForCausalLM, AutoTokenizer, HfArgumentParser, TrainingArguments, set_seed
+
+import evaluation.tasks  # noqa: F401; needed for AutoTask.__subclass__() to work correctly
 from evaluation.tasks.auto_task import AutoTask
 from evaluation.utils.log import get_logger
 
@@ -19,21 +14,18 @@
 @dataclass
 class EvaluationArguments:
     """
-        Arguments for any adjustable params in this evaluation script
+    Arguments for any adjustable params in this evaluation script
     """
+
     model_name_or_path: str = field(
         metadata={"help": "The model checkpoint that we want to evaluate, could be name or the path."}
     )
-    eval_tasks: List[str] = field(
-        metadata={"help": "A list of tasks to run the evaluation on, e.g. tydiqa_secondary"}
-    )
+    eval_tasks: List[str] = field(metadata={"help": "A list of tasks to run the evaluation on, e.g. tydiqa_secondary"})
     config_name: Optional[str] = field(
-        default=None,
-        metadata={"help": "Pretrained config name or path if not the same as model_name."}
+        default=None, metadata={"help": "Pretrained config name or path if not the same as model_name."}
     )
     tokenizer_name: Optional[str] = field(
-        default=None,
-        metadata={"help": "Pretrained tokenizer name or path if not the same as model_name."}
+        default=None, metadata={"help": "Pretrained tokenizer name or path if not the same as model_name."}
     )
     tag: Optional[str] = field(
         default=None,
@@ -50,8 +42,8 @@ def main():
     eval_args, train_args = parser.parse_args_into_dataclasses()
 
     if not eval_args.eval_tasks:
-        raise ValueError('Must provide at least one eval task!')
-    
+        raise ValueError("Must provide at least one eval task!")
+
     # initialize device
     device = torch.device(train_args.device)
 
@@ -65,7 +57,8 @@ def main():
     tokenizer.padding_side = "left"
 
     model = AutoModelForCausalLM.from_pretrained(
-        eval_args.model_name_or_path, pad_token_id=tokenizer.eos_token,
+        eval_args.model_name_or_path,
+        pad_token_id=tokenizer.eos_token,
     )
     model.config.pad_token_id = model.config.eos_token_id
     model.resize_token_embeddings(len(tokenizer))
diff --git a/evaluation/tasks/__init__.py b/evaluation/tasks/__init__.py
index acd0f36..03c69db 100644
--- a/evaluation/tasks/__init__.py
+++ b/evaluation/tasks/__init__.py
@@ -2,6 +2,7 @@
 # source: https://stackoverflow.com/questions/3365740/how-to-import-all-submodules
 import pkgutil
 
+
 __all__ = []
 for loader, module_name, is_pkg in pkgutil.walk_packages(__path__):
     __all__.append(module_name)
diff --git a/evaluation/tasks/auto_task.py b/evaluation/tasks/auto_task.py
index b2d4d74..c365a78 100644
--- a/evaluation/tasks/auto_task.py
+++ b/evaluation/tasks/auto_task.py
@@ -1,6 +1,6 @@
+import os
 from abc import ABC, abstractmethod
 from typing import Dict
-import os
 
 import torch
 from transformers import AutoTokenizer, PreTrainedModel, PreTrainedTokenizerFast
diff --git a/evaluation/tasks/tydiqa_primary/tydiqa_primary.py b/evaluation/tasks/tydiqa_primary/tydiqa_primary.py
index be6838b..32dac4d 100644
--- a/evaluation/tasks/tydiqa_primary/tydiqa_primary.py
+++ b/evaluation/tasks/tydiqa_primary/tydiqa_primary.py
@@ -4,6 +4,7 @@
 from jinja2 import Template
 from torch.utils.data import Dataset
 
+
 TEMPLATE = Template(
     """
     {%- set _blank=["passage", "text", "text snippet", "context"]|random -%}
@@ -16,22 +17,23 @@
     {{"\n"}}{{context}}
     {%- endif -%}
     {{"\n"}}Answer: 
-    """
+    """  # noqa W291
 )
 
+
 class TyDiQADataset(Dataset):
     def __init__(self, data, tokenizer, target_langs):
         super(TyDiQADataset, self).__init__()
         self.items = []
-        
+
         for sample_id, sample in enumerate(data):
             lang = sample["id"].split("-")[0]
             if lang in target_langs:
                 # Filter out samples in languages that are not used during training
                 prompt = TEMPLATE.render(
-                    id       = sample["id"],
-                    context  = sample["context"],
-                    question = sample["question"],
+                    id=sample["id"],
+                    context=sample["context"],
+                    question=sample["question"],
                 )
                 prompt = prompt.strip()  # Remove trailing white space and newline
 
@@ -39,7 +41,7 @@ def __init__(self, data, tokenizer, target_langs):
                 inputs = tokenizer(
                     prompt,
                     padding=True,
-                    return_tensors='pt',
+                    return_tensors="pt",
                 )
                 self.items.append(
                     {
@@ -48,12 +50,12 @@ def __init__(self, data, tokenizer, target_langs):
                         "input_ids": inputs["input_ids"],
                         "attention_mask": inputs["attention_mask"],
                         "input_len": inputs["attention_mask"].shape[1],
-                        "target_answer": [ans.lower() for ans in sample["answers"]['text']],
+                        "target_answer": [ans.lower() for ans in sample["answers"]["text"]],
                     }
                 )
-    
+
     def __len__(self):
         return len(self.items)
-    
+
     def __getitem__(self, index):
         return self.items[index]
diff --git a/evaluation/tasks/tydiqa_secondary/tydiqa_secondary.py b/evaluation/tasks/tydiqa_secondary/tydiqa_secondary.py
index 8911f22..44cf61b 100644
--- a/evaluation/tasks/tydiqa_secondary/tydiqa_secondary.py
+++ b/evaluation/tasks/tydiqa_secondary/tydiqa_secondary.py
@@ -1,14 +1,13 @@
 # Module for any additional processing required for the TyDi QA dataset
 # HuggingFace dataset link: https://huggingface.co/datasets/tydiqa
-from typing import Dict
-
+from datasets import load_dataset
 from jinja2 import Template
 from torch.utils.data import Dataset
-from datasets import load_dataset
 from tqdm import tqdm
 
 from evaluation.tasks.auto_task import AutoTask
 
+
 TEMPLATE = Template(
     """
     {%- set _blank=["passage", "text", "text snippet", "context"]|random -%}
@@ -21,7 +20,7 @@
     {{"\n"}}{{context}}
     {%- endif -%}
     {{"\n"}}Answer: 
-    """
+    """  # noqa W291
 )
 
 
@@ -31,15 +30,15 @@ def __init__(self, tokenizer, target_langs):
         assert tokenizer.pad_token == tokenizer.eos_token
         tydiqa = load_dataset("tydiqa", "secondary_task", split="validation")
         self.items = []
-        
+
         for sample in tydiqa:
             lang = sample["id"].split("-")[0]
             if lang in target_langs:
                 # Filter out samples in languages that are not used during training
                 prompt = TEMPLATE.render(
-                    id       = sample["id"],
-                    context  = sample["context"],
-                    question = sample["question"],
+                    id=sample["id"],
+                    context=sample["context"],
+                    question=sample["question"],
                 )
                 prompt = prompt.strip()  # Remove trailing white space and newline
 
@@ -47,7 +46,7 @@ def __init__(self, tokenizer, target_langs):
                 inputs = tokenizer(
                     prompt,
                     padding=True,
-                    return_tensors='pt',
+                    return_tensors="pt",
                 )
                 self.items.append(
                     {
@@ -56,13 +55,13 @@ def __init__(self, tokenizer, target_langs):
                         "input_ids": inputs["input_ids"],
                         "attention_mask": inputs["attention_mask"],
                         "input_len": inputs["attention_mask"].shape[1],
-                        "target_answer": [ans.lower() for ans in sample["answers"]['text']],
+                        "target_answer": [ans.lower() for ans in sample["answers"]["text"]],
                     }
                 )
-    
+
     def __len__(self):
         return len(self.items)
-    
+
     def __getitem__(self, index):
         return self.items[index]
 
@@ -70,13 +69,13 @@ def __getitem__(self, index):
 class TydiqaSecondaryTask(AutoTask):
     @staticmethod
     def get_display_name() -> str:
-        return 'tydiqa_secondary'
+        return "tydiqa_secondary"
 
     def evaluate(self) -> None:
         dataset = TyDiQADataset(self.tokenizer, target_langs=self.task_config["target_langs"])
 
         substring_matches = 0
-        for sample in tqdm(dataset, desc=f'Evaluating {self.get_display_name()}'):
+        for sample in tqdm(dataset, desc=f"Evaluating {self.get_display_name()}"):
             output = self.model.generate(
                 input_ids=sample["input_ids"].to(self.device),
                 attention_mask=sample["attention_mask"].to(self.device),
@@ -91,6 +90,4 @@ def evaluate(self) -> None:
             substring_match = any([target_answer in predicted_answer.lower() for target_answer in target_answers])
             substring_matches += substring_match
 
-        self.metrics = {
-            "substring_matches": substring_matches / len(dataset) * 100
-        }
+        self.metrics = {"substring_matches": substring_matches / len(dataset) * 100}
diff --git a/evaluation/utils/log.py b/evaluation/utils/log.py
index 63854c8..6e1c83e 100644
--- a/evaluation/utils/log.py
+++ b/evaluation/utils/log.py
@@ -4,11 +4,11 @@
 def get_logger():
     logger = logging.getLogger("evaluation")
     formatter = logging.Formatter(
-        '%(asctime)s - %(name)s - %(levelname)s - %(message)s', 
+        "%(asctime)s - %(name)s - %(levelname)s - %(message)s",
         datefmt="%m/%d/%Y %H:%M:%S",
     )
     handler = logging.StreamHandler()
     handler.setFormatter(formatter)
     logger.addHandler(handler)
     logger.setLevel(logging.INFO)
-    return logger
\ No newline at end of file
+    return logger
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..cbf3457
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,1655 @@
+[[package]]
+name = "absl-py"
+version = "0.13.0"
+description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = "*"
+
+[[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 = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "astunparse"
+version = "1.6.3"
+description = "An AST unparser for Python"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = ">=1.6.1,<2.0"
+
+[[package]]
+name = "atomicwrites"
+version = "1.4.0"
+description = "Atomic file writes."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "attrs"
+version = "21.2.0"
+description = "Classes Without Boilerplate"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[package.extras]
+dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit"]
+docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface"]
+tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins"]
+
+[[package]]
+name = "black"
+version = "21.7b0"
+description = "The uncompromising code formatter."
+category = "dev"
+optional = false
+python-versions = ">=3.6.2"
+
+[package.dependencies]
+appdirs = "*"
+click = ">=7.1.2"
+mypy-extensions = ">=0.4.3"
+pathspec = ">=0.8.1,<1"
+regex = ">=2020.1.8"
+tomli = ">=0.2.6,<2.0.0"
+
+[package.extras]
+colorama = ["colorama (>=0.4.3)"]
+d = ["aiohttp (>=3.6.0)", "aiohttp-cors (>=0.4.0)"]
+python2 = ["typed-ast (>=1.4.2)"]
+uvloop = ["uvloop (>=0.15.2)"]
+
+[[package]]
+name = "cachetools"
+version = "4.2.2"
+description = "Extensible memoizing collections and decorators"
+category = "main"
+optional = false
+python-versions = "~=3.5"
+
+[[package]]
+name = "certifi"
+version = "2021.5.30"
+description = "Python package for providing Mozilla's CA Bundle."
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "charset-normalizer"
+version = "2.0.4"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+category = "main"
+optional = false
+python-versions = ">=3.5.0"
+
+[package.extras]
+unicode_backport = ["unicodedata2"]
+
+[[package]]
+name = "click"
+version = "8.0.1"
+description = "Composable command line interface toolkit"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[[package]]
+name = "colorama"
+version = "0.4.4"
+description = "Cross-platform colored terminal text."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[[package]]
+name = "datasets"
+version = "1.11.0"
+description = "HuggingFace/Datasets is an open library of NLP datasets."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+dill = "*"
+fsspec = ">=2021.05.0"
+huggingface-hub = "<0.1.0"
+multiprocess = "*"
+numpy = ">=1.17"
+packaging = "*"
+pandas = "*"
+pyarrow = ">=1.0.0,<4.0.0 || >4.0.0"
+requests = ">=2.19.0"
+tqdm = ">=4.42"
+xxhash = "*"
+
+[package.extras]
+apache-beam = ["apache-beam (>=2.26.0)"]
+benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"]
+dev = ["absl-py", "pytest", "pytest-xdist", "aiohttp", "apache-beam (>=2.26.0)", "elasticsearch", "aiobotocore (==1.2.2)", "boto3 (==1.16.43)", "botocore (==1.19.52)", "fsspec", "moto[server,s3] (==2.0.4)", "rarfile (>=4.0)", "s3fs", "tensorflow (>=2.3)", "torch", "transformers", "bs4", "conllu", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "black (==21.4b0)", "flake8 (==3.7.9)", "isort", "pyyaml (>=5.3.1)", "importlib-resources"]
+docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec", "s3fs"]
+quality = ["black (==21.4b0)", "flake8 (==3.7.9)", "isort", "pyyaml (>=5.3.1)"]
+s3 = ["fsspec", "boto3 (==1.16.43)", "botocore (==1.19.52)", "s3fs"]
+streaming = ["aiohttp"]
+tensorflow = ["tensorflow (>=2.2.0)"]
+tensorflow_gpu = ["tensorflow-gpu (>=2.2.0)"]
+tests = ["absl-py", "pytest", "pytest-xdist", "aiohttp", "apache-beam (>=2.26.0)", "elasticsearch", "aiobotocore (==1.2.2)", "boto3 (==1.16.43)", "botocore (==1.19.52)", "fsspec", "moto[server,s3] (==2.0.4)", "rarfile (>=4.0)", "s3fs", "tensorflow (>=2.3)", "torch", "transformers", "bs4", "conllu", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "importlib-resources"]
+torch = ["torch"]
+
+[[package]]
+name = "dill"
+version = "0.3.4"
+description = "serialize all of python"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*"
+
+[package.extras]
+graph = ["objgraph (>=1.7.2)"]
+
+[[package]]
+name = "filelock"
+version = "3.0.12"
+description = "A platform independent file lock."
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "flake8"
+version = "3.9.2"
+description = "the modular source code checker: pep8 pyflakes and co"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+
+[package.dependencies]
+mccabe = ">=0.6.0,<0.7.0"
+pycodestyle = ">=2.7.0,<2.8.0"
+pyflakes = ">=2.3.0,<2.4.0"
+
+[[package]]
+name = "flatbuffers"
+version = "1.12"
+description = "The FlatBuffers serialization format for Python"
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "fsspec"
+version = "2021.7.0"
+description = "File-system specification"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+abfs = ["adlfs"]
+adl = ["adlfs"]
+dask = ["dask", "distributed"]
+dropbox = ["dropboxdrivefs", "requests", "dropbox"]
+entrypoints = ["importlib-metadata"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+hdfs = ["pyarrow (>=1)"]
+http = ["requests", "aiohttp"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+
+[[package]]
+name = "gast"
+version = "0.4.0"
+description = "Python AST that abstracts the underlying Python version"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "google-auth"
+version = "1.35.0"
+description = "Google Authentication Library"
+category = "main"
+optional = false
+python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*"
+
+[package.dependencies]
+cachetools = ">=2.0.0,<5.0"
+pyasn1-modules = ">=0.2.1"
+rsa = {version = ">=3.1.4,<5", markers = "python_version >= \"3.6\""}
+six = ">=1.9.0"
+
+[package.extras]
+aiohttp = ["requests (>=2.20.0,<3.0.0dev)", "aiohttp (>=3.6.2,<4.0.0dev)"]
+pyopenssl = ["pyopenssl (>=20.0.0)"]
+reauth = ["pyu2f (>=0.1.5)"]
+
+[[package]]
+name = "google-auth-oauthlib"
+version = "0.4.5"
+description = "Google Authentication Library"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+google-auth = ">=1.0.0"
+requests-oauthlib = ">=0.7.0"
+
+[package.extras]
+tool = ["click (>=6.0.0)"]
+
+[[package]]
+name = "google-pasta"
+version = "0.2.0"
+description = "pasta is an AST-based Python refactoring library"
+category = "main"
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diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..fee82f1
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,31 @@
+[tool.black]
+line-length = 119
+target-version = ['py38']
+
+[tool.pytest.ini_options]
+filterwarnings = ["ignore:the imp module is deprecated in favour of importlib:DeprecationWarning:tensorflow.*"]
+
+[tool.poetry]
+name = "evaluation"
+version = "0.1.0"
+description = ""
+authors = ["Your Name <you@example.com>"]
+
+[tool.poetry.dependencies]
+python = "^3.8.11"
+datasets = "1.11.0"
+Jinja2 = "3.0.1"
+tensorflow = "2.5.0"
+torch = "1.9.0"
+tqdm = "4.62.0"
+transformers = "4.9.1"
+
+[tool.poetry.dev-dependencies]
+isort = "^5.9.3"
+black = "^21.7b0"
+flake8 = "^3.9.2"
+pytest = "^6.2.4"
+
+[build-system]
+requires = ["poetry-core>=1.0.0", "setuptools", "wheel"]
+build-backend = "setuptools.build_meta"
diff --git a/requirements-dev.txt b/requirements-dev.txt
new file mode 100644
index 0000000..bd41e62
--- /dev/null
+++ b/requirements-dev.txt
@@ -0,0 +1,4 @@
+isort>=5.9.3
+black>=21.7b0
+flake8>=3.9.2
+pytest>=6.2.4
diff --git a/setup.cfg b/setup.cfg
new file mode 100644
index 0000000..6eeb23e
--- /dev/null
+++ b/setup.cfg
@@ -0,0 +1,12 @@
+[isort]
+ensure_newline_before_comments = True
+force_grid_wrap = 0
+include_trailing_comma = True
+line_length = 119
+lines_after_imports = 2
+multi_line_output = 3
+use_parentheses = True
+
+[flake8]
+ignore = E203, E501, W503
+max-line-length = 119
diff --git a/setup.py b/setup.py
new file mode 100644
index 0000000..d9a102e
--- /dev/null
+++ b/setup.py
@@ -0,0 +1,26 @@
+from setuptools import find_packages, setup
+
+
+def req_file(filename):
+    with open(filename) as f:
+        content = f.readlines()
+    return [x.strip() for x in content]
+
+
+install_requires = req_file("requirements.txt")
+
+with open("README.md") as readme_file:
+    readme = readme_file.read()
+
+setup(
+    name="evaluation",
+    python_requires=">=3.8.11",
+    version="0.1.0",
+    url="https://github.com/bigscience-workshop/evaluation.git",
+    author="Multiple Authors",
+    author_email="xxx",
+    description="",
+    long_description=readme,
+    packages=find_packages(),
+    install_requires=install_requires,
+)
diff --git a/tests/test_tydiqa_secondary.py b/tests/test_tydiqa_secondary.py
new file mode 100644
index 0000000..dd107e7
--- /dev/null
+++ b/tests/test_tydiqa_secondary.py
@@ -0,0 +1,17 @@
+from transformers import AutoTokenizer
+
+from evaluation.tasks.tydiqa_secondary.tydiqa_secondary import TyDiQADataset
+
+
+def test_prompt():
+    tokenizer = AutoTokenizer.from_pretrained("gpt2")
+    tokenizer.pad_token = tokenizer.eos_token
+    tokenizer.padding_side = "left"
+    dataset = TyDiQADataset(tokenizer, ["english"])
+    prompt = next(iter(dataset))["prompt"]
+    assert (
+        "Wound care encourages and speeds wound healing via cleaning and protection from reinjury or infection. "
+        "Depending on each patient's needs, it can range from the simplest first aid to entire nursing specialties "
+        "such as wound, ostomy, and continence nursing and burn center care.\n"
+    ) in prompt
+    assert prompt.endswith("Answer:")