Adding data

data/knowledge_questions.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:30f2312e1681f964b4e850962ef48c7cb80e79c1e9e2889d80710eb9ca7462e8
+size 30186420

data/knowledge_questions.json.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8a33c0f7a33823ba145b4b1f1de2de7c91fcee8853b771a42517d4c4cc25c769
+size 1297779

data/rc_questions.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4f6eb35e1b865a6c5cfd0cf73a0b514a86bd1d8306bf6719f2b4fb94793c7e4b
+size 22753840

data/rc_questions.json.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:90e1f354374ac7378021c4d30ce9a8b089191ba6f74c0535879271eaaeb8afb7
+size 986933

data/statutes.tsv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d974d2878a059dcaa41584a967ccc608bd6efaf91d78253100de7a187c06ac3a
+size 3357422356

data/statutes.tsv.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7d4382875edc40b54de5889a21d7ddebe6fae5629fd54bfa53b3d82c20eb04ae
+size 731952596

housing_qa.py

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+import csv
+
+import datasets
+import json
+from io import StringIO
+from pathlib import Path
+import pandas as pd
+
+_CITATION = """"""
+_DESCRIPTION = """"""
+_HOMEPAGE = ""
+_URLS = {
+    "knowledge_questions": "data/knowledge_questions.json.zip",
+    "rc_questions": "data/rc_questions.json.zip",
+    "statutes": "data/statutes.tsv.zip",
+}
+
+
+
+_CONFIGS = {}
+
+_CONFIGS["knowledge_questions"] = {
+    "description": "Answer knowledge questions about housing law in the different states.",
+    "features": {
+        "idx": datasets.Value("int32"),
+        "state": datasets.Value("string"),
+        "question": datasets.Value("string"),
+        "answer": datasets.Value("string"),
+        "question_group": datasets.Value("int32"),
+        "statutes": datasets.Sequence(
+            {
+                "citation": datasets.Value("string"),
+                "excerpt": datasets.Value("string"),
+            }
+        ),
+        "original_question": datasets.Value("string"),
+        "caveats": datasets.Sequence([datasets.Value("string")]),
+    },
+    "license": None,
+}
+
+_CONFIGS["rc_questions"] = {
+    "description": "Answer RC questions about housing law in the different states.",
+    "features": {
+        "idx": datasets.Value("int32"),
+        "state": datasets.Value("string"),
+        "question": datasets.Value("string"),
+        "answer": datasets.Value("string"),
+        "question_group": datasets.Value("int32"),
+        "statutes": datasets.Sequence(
+            {
+                "statute_idx": datasets.Value("int32"),
+                "citation": datasets.Value("string"),
+                "excerpt": datasets.Value("string"),
+            }
+        ),
+        "original_question": datasets.Value("string"),
+        "caveats": datasets.Sequence([datasets.Value("string")]),
+    },
+    "license": None,
+}
+
+_CONFIGS["statutes"] = {
+    "description": "Corpus of statutes",
+    "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=datasets.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=datasets.Split.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 ["knowledge_questions"]:
+            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 ["rc_questions"]:
+            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