Delete loading script

housing_qa.py

@@ -1,118 +0,0 @@
-import csv
-
-import datasets
-from datasets import Dataset, DatasetInfo, Features, ClassLabel, Value, Sequence, DatasetDict
-import json
-from io import StringIO
-from pathlib import Path
-import pandas as pd
-
-_CITATION = """"""
-_DESCRIPTION = """"""
-_HOMEPAGE = ""
-_URLS = {
-    "questions": "data/questions.json.zip",
-    "questions_aux": "data/questions_aux.json.zip",
-    "statutes": "data/statutes.tsv.zip",
-}
-
-_CONFIGS = {}
-
-_CONFIGS["questions"] = {
-    "description": "Questions about housing law.",
-    "features" : Features({
-        'idx': Value('int32'),
-        'state': Value('string'),
-        'question': Value('string'),
-        'answer': Value('string'),
-        'question_group': Value('int32'),
-        'statutes': [{
-            'statute_idx': Value('int32'),
-            'citation': Value('string'),
-            'excerpt': Value('string'),
-        }],
-        'original_question': Value('string'),
-        'caveats': Sequence(Value('string')),
-    }),
-    "license": None,
-}
-
-_CONFIGS["questions_aux"] = {
-    "description": "An auxilliary set of larger questions about housing law, without statutory annotations.",
-    "features" : Features({
-        'idx': Value('int32'),
-        'state': Value('string'),
-        'question': Value('string'),
-        'answer': Value('string'),
-        'question_group': Value('int32'),
-        'statutes': Sequence({
-            'citation': Value('string'),
-            'excerpt': Value('string'),
-        }),
-        'original_question': Value('string'),
-        'caveats': Sequence(Value('string')),
-    }),
-    "license": None,
-}
-
-_CONFIGS["statutes"] = {
-    "description": "Corpus of statutes",
-    "features": Features({
-        "citation": datasets.Value("string"),
-        "path": datasets.Value("string"),
-        "state": datasets.Value("string"),
-        "text": datasets.Value("string"),
-        "idx": datasets.Value("int32"),
-    }),
-    "license": None,
-}
-
-
-class HousingQA(datasets.GeneratorBasedBuilder):
-    """TODO"""
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name=task, version=datasets.Version("1.0.0"), description=task,
-        )
-        for task in _CONFIGS
-    ]
-
-    def _info(self):
-        features = _CONFIGS[self.config.name]["features"]
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-            license=_CONFIGS[self.config.name]["license"],
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        downloaded_file_dir = Path(dl_manager.download_and_extract(_URLS[self.config.name]))
-        return [
-            datasets.SplitGenerator(
-                name="corpus" if self.config.name == "statutes" else "test",
-                gen_kwargs={
-                    "downloaded_file_dir": downloaded_file_dir,
-                    "name": self.config.name,
-                },
-            ),
-        ]
-
-    def _generate_examples(self, downloaded_file_dir, name):
-        """Yields examples as (key, example) tuples."""
-        
-        if name in ["questions", "questions_aux"]:
-            fpath = downloaded_file_dir / f"{name}.json"
-            data = json.loads(fpath.read_text())
-            for id_line, data in enumerate(data):
-                yield id_line, data
-
-        if name in ["statutes"]:
-            fpath = downloaded_file_dir / f"{name}.tsv"
-            data = pd.read_csv(fpath, sep="\t", dtype={'index': 'int32'})
-            data = data.to_dict(orient="records")
-            for id_line, data in enumerate(data):
-                yield id_line, data