Convert dataset to Parquet

ParaphraseRC/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:6365f9178c615f3301f15b61dd04763c1148c9ec1b992e05733e4a22383162ba
+size 6136591

ParaphraseRC/train-00000-of-00001.parquet

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+oid sha256:081f23715a05ebaa6310c2e5349c5ef2c4b1abcc5cdd9ef9c30aa2bcaf4400ee
+size 26005668

ParaphraseRC/validation-00000-of-00001.parquet

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+oid sha256:6890b9d6e21dbedf7bc4b5dcc2ec4df89461b96d731f2113241f04df53a73482
+size 5566868

README.md

@@ -22,8 +22,11 @@ task_ids:
 - extractive-qa
 paperswithcode_id: duorc
 pretty_name: DuoRC
+config_names:
+- ParaphraseRC
+- SelfRC
 dataset_info:
-- config_name: SelfRC
+- config_name: ParaphraseRC
   features:
   - name: plot_id
     dtype: string
@@ -41,17 +44,17 @@ dataset_info:
     dtype: bool
   splits:
   - name: train
-    num_bytes: 239852925
-    num_examples: 60721
+    num_bytes: 496682909
+    num_examples: 69524
   - name: validation
-    num_bytes: 51662575
-    num_examples: 12961
+    num_bytes: 106510489
+    num_examples: 15591
   - name: test
-    num_bytes: 49142766
-    num_examples: 12559
-  download_size: 34462660
-  dataset_size: 340658266
-- config_name: ParaphraseRC
+    num_bytes: 115215760
+    num_examples: 15857
+  download_size: 37709127
+  dataset_size: 718409158
+- config_name: SelfRC
   features:
   - name: plot_id
     dtype: string
@@ -69,19 +72,33 @@ dataset_info:
     dtype: bool
   splits:
   - name: train
-    num_bytes: 496683105
-    num_examples: 69524
+    num_bytes: 239852729
+    num_examples: 60721
   - name: validation
-    num_bytes: 106510545
-    num_examples: 15591
+    num_bytes: 51662519
+    num_examples: 12961
   - name: test
-    num_bytes: 115215816
-    num_examples: 15857
-  download_size: 62921050
-  dataset_size: 718409466
-config_names:
-- ParaphraseRC
-- SelfRC
+    num_bytes: 49142710
+    num_examples: 12559
+  download_size: 21001846
+  dataset_size: 340657958
+configs:
+- config_name: ParaphraseRC
+  data_files:
+  - split: train
+    path: ParaphraseRC/train-*
+  - split: validation
+    path: ParaphraseRC/validation-*
+  - split: test
+    path: ParaphraseRC/test-*
+- config_name: SelfRC
+  data_files:
+  - split: train
+    path: SelfRC/train-*
+  - split: validation
+    path: SelfRC/validation-*
+  - split: test
+    path: SelfRC/test-*
 ---
 
 # Dataset Card for duorc

SelfRC/test-00000-of-00001.parquet

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+size 3035736

SelfRC/train-00000-of-00001.parquet

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+oid sha256:2c0180bed6eea525a15e6d8c2eaf12be1f13ff3a3cc31e7409a75350f248ee41
+size 14851720

SelfRC/validation-00000-of-00001.parquet

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+size 3114390

dataset_infos.json

@@ -1 +0,0 @@
-{"SelfRC": {"description": "DuoRC contains 186,089 unique question-answer pairs created from a collection of 7680 pairs of movie plots where each pair in the collection reflects two versions of the same movie.\n", "citation": "@inproceedings{DuoRC,\nauthor = { Amrita Saha and Rahul Aralikatte and Mitesh M. Khapra and Karthik Sankaranarayanan},title = {{DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension}},\nbooktitle = {Meeting of the Association for Computational Linguistics (ACL)},\nyear = {2018}\n}\n", "homepage": "https://duorc.github.io/", "license": "https://raw.githubusercontent.com/duorc/duorc/master/LICENSE", "features": {"plot_id": {"dtype": "string", "id": null, "_type": "Value"}, "plot": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "question_id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "no_answer": {"dtype": "bool", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "duorc", "config_name": "SelfRC", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 239852925, "num_examples": 60721, "dataset_name": "duorc"}, "validation": {"name": "validation", "num_bytes": 51662575, "num_examples": 12961, "dataset_name": "duorc"}, "test": {"name": "test", "num_bytes": 49142766, "num_examples": 12559, "dataset_name": "duorc"}}, "download_checksums": {"https://raw.githubusercontent.com/duorc/duorc/master/dataset/SelfRC_train.json": {"num_bytes": 24388192, "checksum": "38c9dd56f3f0debc5d86ac9eadc42ab06e3bf4095feb0f7dd2c968a1555d774e"}, "https://raw.githubusercontent.com/duorc/duorc/master/dataset/SelfRC_dev.json": {"num_bytes": 5051240, "checksum": "003bc7f551041cbdbc433276cffbebf02a743d58e7d295b990c66bb643c75ffa"}, "https://raw.githubusercontent.com/duorc/duorc/master/dataset/SelfRC_test.json": {"num_bytes": 5023228, "checksum": "3372be8248a9dba7455eb22ff035378b40bf125cf8ae1409d9affebb4d2fe96f"}}, "download_size": 34462660, "post_processing_size": null, "dataset_size": 340658266, "size_in_bytes": 375120926}, "ParaphraseRC": {"description": "DuoRC contains 186,089 unique question-answer pairs created from a collection of 7680 pairs of movie plots where each pair in the collection reflects two versions of the same movie.\n", "citation": "@inproceedings{DuoRC,\nauthor = { Amrita Saha and Rahul Aralikatte and Mitesh M. Khapra and Karthik Sankaranarayanan},title = {{DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension}},\nbooktitle = {Meeting of the Association for Computational Linguistics (ACL)},\nyear = {2018}\n}\n", "homepage": "https://duorc.github.io/", "license": "https://raw.githubusercontent.com/duorc/duorc/master/LICENSE", "features": {"plot_id": {"dtype": "string", "id": null, "_type": "Value"}, "plot": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "question_id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "no_answer": {"dtype": "bool", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "duorc", "config_name": "ParaphraseRC", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 496683105, "num_examples": 69524, "dataset_name": "duorc"}, "validation": {"name": "validation", "num_bytes": 106510545, "num_examples": 15591, "dataset_name": "duorc"}, "test": {"name": "test", "num_bytes": 115215816, "num_examples": 15857, "dataset_name": "duorc"}}, "download_checksums": {"https://raw.githubusercontent.com/duorc/duorc/master/dataset/ParaphraseRC_train.json": {"num_bytes": 43374860, "checksum": "8a22500def833cf33a4eaaf7c00b5fc144b5fe26d40e6d94a96bd23a88056193"}, "https://raw.githubusercontent.com/duorc/duorc/master/dataset/ParaphraseRC_dev.json": {"num_bytes": 9319561, "checksum": "6d49a1ace1cebe7c73063551e91548725c75db505e1ada58af81c0e1dd21fe60"}, "https://raw.githubusercontent.com/duorc/duorc/master/dataset/ParaphraseRC_test.json": {"num_bytes": 10226629, "checksum": "98e471e3b8203664b1656f19fd22d50c3e8ec4e84792846ccf1ccbf0c1298799"}}, "download_size": 62921050, "post_processing_size": null, "dataset_size": 718409466, "size_in_bytes": 781330516}}

duorc.py

@@ -1,146 +0,0 @@
-# coding=utf-8
-# 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.
-"""DuoRC: A Paraphrased
-Reading Comprehension Question Answering Dataset"""
-
-
-import json
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{DuoRC,
-author = { Amrita Saha and Rahul Aralikatte and Mitesh M. Khapra and Karthik Sankaranarayanan},\
-title = {{DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension}},
-booktitle = {Meeting of the Association for Computational Linguistics (ACL)},
-year = {2018}
-}
-"""
-
-
-_DESCRIPTION = """\
-DuoRC contains 186,089 unique question-answer pairs created from a collection of 7680 pairs of movie plots where each pair in the collection reflects two versions of the same movie.
-"""
-
-_HOMEPAGE = "https://duorc.github.io/"
-
-_LICENSE = "https://raw.githubusercontent.com/duorc/duorc/master/LICENSE"
-
-_URL = "https://raw.githubusercontent.com/duorc/duorc/master/dataset/"
-_URLs = {
-    "SelfRC": {
-        "train": _URL + "SelfRC_train.json",
-        "dev": _URL + "SelfRC_dev.json",
-        "test": _URL + "SelfRC_test.json",
-    },
-    "ParaphraseRC": {
-        "train": _URL + "ParaphraseRC_train.json",
-        "dev": _URL + "ParaphraseRC_dev.json",
-        "test": _URL + "ParaphraseRC_test.json",
-    },
-}
-
-
-class DuorcConfig(datasets.BuilderConfig):
-    """BuilderConfig for DuoRC SelfRC."""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for DuoRC SelfRC.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(DuorcConfig, self).__init__(**kwargs)
-
-
-class Duorc(datasets.GeneratorBasedBuilder):
-    """DuoRC Dataset"""
-
-    VERSION = datasets.Version("1.0.0")
-    BUILDER_CONFIGS = [
-        DuorcConfig(name="SelfRC", version=VERSION, description="SelfRC dataset"),
-        DuorcConfig(name="ParaphraseRC", version=VERSION, description="ParaphraseRC dataset"),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
-            features=datasets.Features(
-                {
-                    "plot_id": datasets.Value("string"),
-                    "plot": datasets.Value("string"),
-                    "title": datasets.Value("string"),
-                    "question_id": datasets.Value("string"),
-                    "question": datasets.Value("string"),
-                    "answers": datasets.features.Sequence(datasets.Value("string")),
-                    "no_answer": datasets.Value("bool"),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        my_urls = _URLs[self.config.name]
-        downloaded_files = dl_manager.download_and_extract(my_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["dev"],
-                },
-            ),
-            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."""
-        with open(filepath, encoding="utf-8") as f:
-            duorc = json.load(f)
-            for example in duorc:
-                plot_id = example["id"]
-                plot = example["plot"].strip()
-                title = example["title"].strip()
-                for qas in example["qa"]:
-                    question_id = qas["id"]
-                    question = qas["question"].strip()
-                    answers = [answer.strip() for answer in qas["answers"]]
-                    no_answer = qas["no_answer"]
-
-                    yield question_id, {
-                        "title": title,
-                        "plot": plot,
-                        "question": question,
-                        "plot_id": plot_id,
-                        "question_id": question_id,
-                        "answers": answers,
-                        "no_answer": no_answer,
-                    }