Create knowledgemath.py

knowledgemath.py

@@ -0,0 +1,87 @@
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import os
+import json
+
+import datasets
+
+_LICENSE = "MIT License"
+
+# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
+# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
+_DATA_URL = (
+    "https://raw.githubusercontent.com/yilunzhao/RobuT/main/robut_data.zip"
+)
+
+
+class KnowledgeMath(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="main",
+        )
+    ]
+
+    DEFAULT_CONFIG_NAME = (
+        "main"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+    )
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "question_id": datasets.Value("string"),
+                "question": datasets.Value("string"),
+                "tables": datasets.features.Sequence(datasets.Value("string")),
+                "topic": datasets.Value("string"),
+                "ground_truth": datasets.Value("float64"),
+                "python_solution": datasets.Value("string"),
+            }
+        )
+        return datasets.DatasetInfo(
+            features=features, 
+            homepage=_HOMEPAGE,
+        )
+
+    def _split_generators(self, dl_manager):
+        validation_path = datasets.DownloadManager.download("https://huggingface.co/datasets/yale-nlp/KnowledgeMath/raw/main/validation.json")
+        test_path = datasets.DownloadManager.download("https://huggingface.co/datasets/yale-nlp/KnowledgeMath/raw/main/test.json")
+        return [
+            datasets.SplitGenerator(
+                name="validation",
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": validation_path
+                },
+            ),
+            datasets.SplitGenerator(
+                name="test",
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": test_path
+                },
+            )
+        ]
+
+    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
+    def _generate_examples(self, filepath):
+        # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
+        qa_data = json.load(open(filepath))
+        for idx, example in enumerate(qa_data):
+            yield idx, {
+                "question_id": example["question_id"],
+                "question": example["question"],
+                "tables": example["tables"],
+                "topic": example["topic"],
+                "ground_truth": example["ground_truth"],
+                "python_solution": example["python_solution"],
+            }