Add gqa v0.0.1

README.md

@@ -1,3 +1,49 @@
 ---
 license: mit
 ---
+
+# GQA: Graph Question Answering
+
+This dataset is asks models to make use of embedded graph for question answering.
+
+An exmaple of the dataset is as follows:
+
+```json
+{
+  "id": "mcwq-176119",
+  "question": "What was executive produced by Scott Spiegel , Boaz Yakin , and Quentin Tarantino , executive produced by My Best Friend's Birthday 's editor and star , and edited by George Folsey",
+  "answers": [
+    "Hostel: Part II"
+  ],
+  "subgraph": {
+    "entities": [
+      "Q1401104",
+      "Q887636",
+      "Q1048645",
+      "Q3772",
+      "Q965826"
+    ],
+    "relations": [
+      "P1431",
+      "P1040"
+    ],
+    "adjacency": [[2, 1, 0],
+      [2, 0, 3],
+      [2, 0, 1],
+      [2, 0, 4]
+    ],
+    "entity_labels": [
+      "george folsey, jr.",
+      "boaz yakin",
+      "hostel: part ii",
+      "quentin jerome tarantino",
+      "scott spiegel"
+    ],
+    "relation_labels": [
+      "showrunner",
+      "film editor"
+    ]
+  },
+  "sparql": "SELECT DISTINCT ?x0 WHERE {\n?x0 wdt:P1040 wd:Q1401104 .\n?x0 wdt:P1431 ?x1 .\n?x0 wdt:P1431 wd:Q3772 .\n?x0 wdt:P1431 wd:Q887636 .\n?x0 wdt:P1431 wd:Q965826 .\nwd:Q1480733 wdt:P161 ?x1 .\nwd:Q1480733 wdt:P1040 ?x1\n}"
+}
+```

gqa.py

@@ -0,0 +1,68 @@
+import json
+
+import datasets
+from datasets import Features, Sequence, Array2D, Value, DatasetDict
+from datasets.info import DatasetInfo
+
+
+_DESCRIPTION = """\
+GQA is a dataset containing 22M questions about visual scenes. \
+The questions are designed to be challenging, \
+i.e., they require compositional reasoning, \
+"""
+
+_URLS = {
+    "train": "train.jsonl",
+    "validation": "validation.jsonl",
+    "test": "test.jsonl",
+}
+
+class GQAConfig(datasets.BuilderConfig):
+    """BuilderConfig for GQA."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for GQA.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(GQAConfig, self).__init__(**kwargs)
+
+
+class GQA(datasets.GeneratorBasedBuilder):
+    """GQA: A graph question answering dataset."""
+    def _info(self) -> DatasetInfo:
+        return DatasetInfo(
+            description=_DESCRIPTION,
+            features=Features(
+                {
+                    "id": Value("string"),
+                    "question": Value("string"),
+                    "answers": Sequence(Value("string")),
+                    "sparql": Value("string"),
+                    "subgraph": 
+                        {
+                            "entities": Sequence(Value("string")),
+                            "relations": Sequence(Value("string")),
+                            "adjacency": Array2D(shape=(None, 3), dtype='int64'),
+                            "entity_labels": Sequence(datasets.Value("string")),
+                            "relation_labels": Sequence(Value("string")),
+                        }
+                }
+            )
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager):
+        downloaded_files = dl_manager.download_and_extract(_URLS)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["validation"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf-8") as f:
+            for row in f:
+                sample = json.loads(row)
+                id_ = sample["id"]
+                yield id_, sample

test.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b83949e5a98ac9798df40563d781ed98de322be0c4d8fe8f6c79dd2f6f6add7
+size 2739517

train.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e0b67c00a4c9fd210e05966d4ebe3a56e5fcb1f1698a8fabed9ff750d1cb2d37
+size 32298864

validation.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95944d204912461d032e63a890266dc95c0ba33ad0564f2fa1d7cd3fbf23545f
+size 2010013