Adds `.gitignore` and dataset script.

.gitignore

@@ -0,0 +1,129 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/

NIST-In-Situ-IN625-LPBF-Overhangs_dataset.py

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+import datasets
+import os
+import pickle
+
+_DESCRIPTION = """\
+In Situ Thermography During Laser Powder Bed Fusion of a Nickel Superalloy 625
+Artifact with Various Overhangs and Supports
+"""
+
+_URLS = {
+    "base": "https://huggingface.co/datasets/ppak10/NIST-In-Situ-IN625-LPBF-Overhangs/resolve/main/data/BASE.pkl",
+    "block": "https://huggingface.co/datasets/ppak10/NIST-In-Situ-IN625-LPBF-Overhangs/resolve/main/data/BLOCK.pkl",
+}
+
+class NISTInSituIN625LPBFOverhangsDataset(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("0.0.1")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="default",
+            description="Provides layer-wise attributes of entire dataset",
+            version=VERSION,
+        ),
+        # datasets.BuilderConfig(
+        #     name="images",
+        #     description="Provides layer-wise attributes of entire dataset",
+        #     version=VERSION,
+        # ),
+    ]
+
+    DEFAULT_CONFIG_NAME = "default"
+
+    def _info(self):
+        if self.config.name == "default":
+            features = datasets.Features({
+                "folder_layer_range": datasets.Value("string"),
+                "part": datasets.Value("string"),
+                "part_section": datasets.Value("string"),
+                "process": datasets.Value("string"),
+                "source": datasets.Value("string"),
+                "layer_number": datasets.Value("string"),
+                "build_time": datasets.Sequence(datasets.Sequence(datasets.Value("float32"))),
+                "contact_email": datasets.Value("string"),
+                "file_name": datasets.Value("string"),
+                "hatch_spacing": datasets.Value("uint32"),
+                "laser_power": datasets.Value("uint32"),
+                "layer_thickness": datasets.Value("uint32"),
+                "material": datasets.Value("string"),
+                "radiant_temp": datasets.Sequence(datasets.Sequence(datasets.Sequence(datasets.Value("uint32")))),
+                "build_time": datasets.Sequence(datasets.Sequence(datasets.Value("float32"))),
+                "s_hvariable__a": datasets.Value("float32"),
+                "s_hvariable__b": datasets.Value("float32"),
+                "s_hvariable__c": datasets.Value("float32"),
+                "scan_speed": datasets.Value("uint32"),
+                "website": datasets.Value("string"),
+            })
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+        )
+
+    def _split_generators(self, dl_manager):
+
+        urls = _URLS[self.config.name]
+        data_dir = dl_manager.download_and_extract(urls)
+        return [
+            datasets.SplitGenerator(
+                name="base",
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "BASE.pkl"),
+                    "split": "base",
+                }
+            ),
+            datasets.SplitGenerator(
+                name="block",
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "BLOCK.pkl"),
+                    "split": "block",
+                }
+            )
+        ]
+    
+    def _generate_examples(self, filepath, split):
+        if self.config.name == "default":
+            with open(filepath, "rb") as f:
+                layers = pickle.load(f)
+                for index, layer in enumerate(layers):
+                    yield index, layer