init

sc2q_commoncrawl_large.py

@@ -0,0 +1,99 @@
+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# 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.
+
+# Lint as: python3
+"""(SC)^2QA: Self-Contained Summary-Centric QA Dataset.
+This dataset (https://huggingface.co/datasets/sc2qa/sc2q_commoncrawl_large) contains 529,039 question and article pairs.
+If you want {Question, Article, Summary, Length Constraint} 4-tuples, please load sc2qa_commoncrawl (https://huggingface.co/datasets/sc2qa/sc2qa_commoncrawl)
+"""
+
+import csv
+
+import datasets
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_CITATION = """\
+@article{zhou2021generating,
+       author = {Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri},
+       title = "{Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning}",
+       conference = {The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021)},
+       year = 2021,
+}
+"""
+
+_DESCRIPTION = """\
+"""
+
+_URLS = {
+        "train":"https://huggingface.co/datasets/sc2qa/sc2q_commoncrawl/resolve/main/train.csv",
+        "val":"https://huggingface.co/datasets/sc2qa/sc2q_commoncrawl/resolve/main/val.csv",
+        "test":"https://huggingface.co/datasets/sc2qa/sc2q_commoncrawl/resolve/main/test.csv",
+}
+
+class SC2QAConfig(datasets.BuilderConfig):
+    """BuilderConfig for (SC)^2QA."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for (SC)^2QA.
+
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(SC2QAConfig, self).__init__(**kwargs)
+
+
+class SC2QA(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        SC2QAConfig(
+            name="plain_text",
+            version=datasets.Version("1.0.0", ""),
+            description="Plain text",
+        ),
+    ]
+
+    def _info(self):
+        # Should return a datasets.DatasetInfo object
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "question": datasets.Value("string"),
+                    "article": datasets.Value("string"),
+                    "url": datasets.Value("string"),
+                }
+            ),
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        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["val"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", filepath)
+        key = 0
+        with open(filepath, encoding="ascii", errors='ignore') as f:
+            csv_reader = csv.DictReader(f)
+            for i, row in enumerate(csv_reader):
+                yield i, row

test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c67fd9e0170d188a9a6bb5a7e15a56ae2347a4ae4d9683f8aefedad508993cc8
+size 212319294

train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:80624f565c91c646006a8d028dcc27021d5cbaa22e3d0be78f78be53d5815efb
+size 1886633620

val.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78b86c5e919f27a278d08c3ef5e00d3ffda767c371efbc0d07dfaf1ccb9ff6d3
+size 108953981