Convert ID type to int

.gitignore

@@ -0,0 +1,141 @@
+# 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/
+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/
+cover/
+
+# 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
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .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/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# Datasets locks
+*.lock

README.md

@@ -11,7 +11,7 @@ licenses:
 - other-individual-licenses
 multilinguality:
 - monolingual
-pretty_name: ''
+pretty_name: 'Real-world Annotated Few-shot Tasks: RAFT'
 size_categories:
 - unknown
 source_datasets:

raft.py

@@ -44,7 +44,7 @@ _HOMEPAGE = "https://raft.elicit.org"
 # TODO: Add the licence for the dataset here if you can find it
 _LICENSE = ""
 
-DATA_DIR_URL = "data/"
+DATA_DIR = "data/"
 TASKS = {
     "ade_corpus_v2": {
         "name": "ade_corpus_v2",
@@ -203,25 +203,12 @@ TASKS = {
     },
 }
 
-_URLs = {s: {"train": f"{DATA_DIR_URL}{s}/train.csv", "test": f"{DATA_DIR_URL}{s}/test_unlabeled.csv"} for s in TASKS}
+_URLs = {s: {"train": f"{DATA_DIR}{s}/train.csv", "test": f"{DATA_DIR}{s}/test_unlabeled.csv"} for s in TASKS}
 
 
 class Raft(datasets.GeneratorBasedBuilder):
-    """RAFT Dataset."""
-
+    """RAFT Dataset"""
     VERSION = datasets.Version("1.1.0")
-
-    # This is an example of a dataset with multiple configurations.
-    # If you don't want/need to define several sub-sets in your dataset,
-    # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
-
-    # If you need to make complex sub-parts in the datasets with configurable options
-    # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
-    # BUILDER_CONFIG_CLASS = MyBuilderConfig
-
-    # You will be able to load one or the other configurations in the following list with
-    # data = datasets.load_dataset('my_dataset', 'first_domain')
-    # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = []
 
     for key in TASKS:
@@ -235,12 +222,10 @@ class Raft(datasets.GeneratorBasedBuilder):
     )
 
     def _info(self):
-        # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
         DEFAULT_LABEL_NAME = "Unlabeled"
 
         task = TASKS[self.config.name]
-        # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
-        data_columns = {col_name: datasets.Value("string") for col_name in task["data_columns"]}
+        data_columns = {col_name: (datasets.Value("string") if col_name != "ID" else datasets.Value("int32")) for col_name in task["data_columns"]}
 
         label_columns = {}
         for label_name in task["label_columns"]: