Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+annotations_creators:
+- expert-generated
+- found
+language_creators:
+- expert-generated
+- found
+languages:
+- en
+licenses:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+  BioASQ:
+  - 10K<n<100K
+  DuoRC:
+  - 1K<n<10K
+  HotpotQA:
+  - 100K<n<1M
+  NaturalQuestions:
+  - 100K<n<1M
+  RelationExtraction:
+  - 1K<n<10K
+  SQuAD:
+  - 100K<n<1M
+  SearchQA:
+  - n>1M
+  TextbookQA:
+  - 10K<n<100K
+  TriviaQA:
+  - n>1M
+source_datasets:
+  BioASQ:
+  - extended|other-BioASQ
+  DuoRC:
+  - extended|other-DuoRC
+  HotpotQA:
+  - extended|other-HotpotQA
+  NaturalQuestions:
+  - extended|other-Natural-Questions
+  RelationExtraction:
+  - extended|other-Relation-Extraction
+  SQuAD:
+  - extended|other-SQuAD
+  SearchQA:
+  - extended|other-SearchQA
+  TextbookQA:
+  - extended|other-TextbookQA
+  TriviaQA:
+  - extended|other-TriviaQA
+task_categories:
+- question-answering
+task_ids:
+- extractive-qa
+- open-domain-qa
+---
+# Dataset Card for MultiReQA
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** https://github.com/google-research-datasets/MultiReQA
+- **Repository:** https://github.com/google-research-datasets/MultiReQA
+- **Paper:** https://arxiv.org/pdf/2005.02507.pdf
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, in cluding BioASQ, RelationExtraction, TextbookQA, contain only the test data (also includes DuoRC but not specified in the official documentation)
+### Supported Tasks and Leaderboards
+
+- Question answering (QA)
+- Retrieval question answering (ReQA)
+### Languages
+
+Sentence boundary annotation for SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, TextbookQA and DuoRC
+
+## Dataset Structure
+
+### Data Instances
+
+The general format is:
+`
+{
+  "candidate_id": <candidate_id>,
+  "response_start": <response_start>,
+  "response_end": <response_end>
+}
+...
+`
+
+An example from SearchQA:
+`{'candidate_id': 'SearchQA_000077f3912049dfb4511db271697bad/_0_1',
+ 'response_end': 306,
+ 'response_start': 243} `
+
+### Data Fields
+
+`
+{
+  "candidate_id": <STRING>,
+  "response_start": <INT>,
+  "response_end": <INT>
+}
+...
+`
+-  **candidate_id:**  The candidate id of the candidate sentence. It consists of the original qid from the MRQA shared task.
+-   **response_start:**  The start index of the sentence with respect to its original context.
+-   **response_end:**  The end index of the sentence with respect to its original context
+
+### Data Splits
+
+Train and Dev splits are available only for the following datasets,
+ - SearchQA
+ - TriviaQA
+ - HotpotQA
+ - SQuAD 
+ - NaturalQuestions
+
+Test splits are available only for the following datasets,
+ - BioASQ
+ - RelationExtraction
+ - TextbookQA
+
+The number of candidate sentences for each dataset in the table below.
+
+|                    | MultiReQA |         |
+|--------------------|-----------|---------|
+|                    | train     | test    |
+| SearchQA           | 629,160   | 454,836 |
+| TriviaQA           | 335,659   | 238,339 |
+| HotpotQA           | 104,973   | 52,191  |
+| SQuAD              | 87,133    | 10,642  |
+| NaturalQuestions   | 106,521   | 22,118  |
+| BioASQ             | -         | 14,158  |
+| RelationExtraction | -         | 3,301   |
+| TextbookQA         | -         | 3,701   |
+
+## Dataset Creation
+
+### Curation Rationale
+
+MultiReQA is a new multi-domain ReQA evaluation suite composed of eight retrieval QA tasks drawn from publicly available QA datasets from the [MRQA shared task](https://mrqa.github.io/). The dataset was curated by converting existing QA datasets from [MRQA shared task](https://mrqa.github.io/) to the format of MultiReQA benchmark.
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+The Initial data collection was performed by  converting existing QA datasets from MRQA shared task to the format of MultiReQA benchmark.
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+The annotators/curators of the dataset are [mandyguo-xyguo](https://github.com/mandyguo-xyguo) and [mwurts4google](https://github.com/mwurts4google), the contributors of the official MultiReQA github repository 
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+The annotators/curators of the dataset are [mandyguo-xyguo](https://github.com/mandyguo-xyguo) and [mwurts4google](https://github.com/mwurts4google), the contributors of the official MultiReQA github repository 
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+```
+@misc{m2020multireqa,
+    title={MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models},
+    author={Mandy Guo and Yinfei Yang and Daniel Cer and Qinlan Shen and Noah Constant},
+    year={2020},
+    eprint={2005.02507},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+```

dataset_infos.json

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+{"SearchQA": {"description": "MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data", "citation": "@misc{m2020multireqa,\n    title={MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models},\n    author={Mandy Guo and Yinfei Yang and Daniel Cer and Qinlan Shen and Noah Constant},\n    year={2020},\n    eprint={2005.02507},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}", "homepage": "https://github.com/google-research-datasets/MultiReQA", "license": "", "features": {"candidate_id": {"dtype": "string", "id": null, "_type": "Value"}, "response_start": {"dtype": "int32", "id": null, "_type": "Value"}, "response_end": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "multi_re_qa", "config_name": "SearchQA", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 183902877, "num_examples": 3163801, "dataset_name": "multi_re_qa"}, "validation": {"name": "validation", "num_bytes": 26439174, "num_examples": 454836, "dataset_name": "multi_re_qa"}}, "download_checksums": {"https://github.com/google-research-datasets/MultiReQA/raw/master/data/train/SearchQA/candidates.json.gz": {"num_bytes": 32368716, "checksum": "adf6fe37aff7929b7be33fb105571b80db89adc3cee2093c8357b678c1b4c76c"}, "https://github.com/google-research-datasets/MultiReQA/raw/master/data/dev/SearchQA/candidates.json.gz": {"num_bytes": 4623243, "checksum": "00c361a17babd40b9144a570bbadacba37136b638f0a1f55c49fe58fca1606a9"}}, "download_size": 36991959, "post_processing_size": null, "dataset_size": 210342051, "size_in_bytes": 247334010}, "TriviaQA": {"description": "MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. 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multi_re_qa.py

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+# 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.
+"""MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models."""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import os
+
+import datasets
+
+
+# Find for instance the citation on arxiv or on the dataset repo/website
+_CITATION = """\
+@misc{m2020multireqa,
+    title={MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models},
+    author={Mandy Guo and Yinfei Yang and Daniel Cer and Qinlan Shen and Noah Constant},
+    year={2020},
+    eprint={2005.02507},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}"""
+# You can copy an official description
+_DESCRIPTION = """MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data"""
+
+_HOMEPAGE = "https://github.com/google-research-datasets/MultiReQA"
+
+# License for the dataset is not available
+_LICENSE = ""
+
+# Official links to the data hosted on github are below
+# Train and Dev sets are available only for SearchQA, TriviaQA, HotpotQA, SQuAD and NaturalQuestions
+# Test sets are only available for BioASQ, RelationExtraction and TextbookQA
+
+train_SearchQA = (
+    "https://github.com/google-research-datasets/MultiReQA/raw/master/data/train/SearchQA/candidates.json.gz"
+)
+dev_SearchQA = "https://github.com/google-research-datasets/MultiReQA/raw/master/data/dev/SearchQA/candidates.json.gz"
+
+train_TriviaQA = (
+    "https://github.com/google-research-datasets/MultiReQA/raw/master/data/train/TriviaQA/candidates.json.gz"
+)
+dev_TriviaQA = "https://github.com/google-research-datasets/MultiReQA/raw/master/data/dev/TriviaQA/candidates.json.gz"
+
+train_HotpotQA = (
+    "https://github.com/google-research-datasets/MultiReQA/raw/master/data/train/HotpotQA/candidates.json.gz"
+)
+dev_HotpotQA = "https://github.com/google-research-datasets/MultiReQA/raw/master/data/dev/HotpotQA/candidates.json.gz"
+
+train_SQuAD = "https://github.com/google-research-datasets/MultiReQA/raw/master/data/train/SQuAD/candidates.json.gz"
+dev_SQuAD = "https://github.com/google-research-datasets/MultiReQA/raw/master/data/dev/SQuAD/candidates.json.gz"
+
+train_NaturalQuestions = (
+    "https://github.com/google-research-datasets/MultiReQA/raw/master/data/train/NaturalQuestions/candidates.json.gz"
+)
+dev_NaturalQuestions = (
+    "https://github.com/google-research-datasets/MultiReQA/raw/master/data/dev/NaturalQuestions/candidates.json.gz"
+)
+
+test_BioASQ = "https://github.com/google-research-datasets/MultiReQA/raw/master/data/test/BioASQ/candidates.json.gz"
+
+test_RelationExtraction = (
+    "https://github.com/google-research-datasets/MultiReQA/raw/master/data/test/RelationExtraction/candidates.json.gz"
+)
+
+test_TextbookQA = (
+    "https://github.com/google-research-datasets/MultiReQA/raw/master/data/test/TextbookQA/candidates.json.gz"
+)
+
+test_DuoRC = "https://github.com/google-research-datasets/MultiReQA/raw/master/data/test/DuoRC/candidates.json.gz"
+
+
+class MultiReQa(datasets.GeneratorBasedBuilder):
+    """MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="SearchQA", version=VERSION, description="SearchQA"),
+        datasets.BuilderConfig(name="TriviaQA", version=VERSION, description="TriviaQA"),
+        datasets.BuilderConfig(name="HotpotQA", version=VERSION, description="HotpotQA"),
+        datasets.BuilderConfig(name="SQuAD", version=VERSION, description="SQuAD"),
+        datasets.BuilderConfig(name="NaturalQuestions", version=VERSION, description="NaturalQuestions"),
+        datasets.BuilderConfig(name="BioASQ", version=VERSION, description="BioASQ"),
+        datasets.BuilderConfig(name="RelationExtraction", version=VERSION, description="RelationExtraction"),
+        datasets.BuilderConfig(name="TextbookQA", version=VERSION, description="TextbookQA"),
+        datasets.BuilderConfig(name="DuoRC", version=VERSION, description="DuoRC"),
+    ]
+
+    # DEFAULT_CONFIG_NAME = "SearchQA"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+
+    def _info(self):
+        # This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
+        if self.config.name == "SearchQA":  # This is the name of the configuration selected in BUILDER_CONFIGS above
+            features = datasets.Features(
+                {
+                    "candidate_id": datasets.Value("string"),
+                    "response_start": datasets.Value("int32"),
+                    "response_end": datasets.Value("int32"),
+                }
+            )
+        else:
+            features = datasets.Features(
+                {
+                    "candidate_id": datasets.Value("string"),
+                    "response_start": datasets.Value("int32"),
+                    "response_end": datasets.Value("int32"),
+                }
+            )
+        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=features,
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage=_HOMEPAGE,
+            # License for the dataset if available
+            license=_LICENSE,
+            # Citation for the dataset
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+
+        if (
+            self.config.name == "SearchQA"
+            or self.config.name == "TriviaQA"
+            or self.config.name == "HotpotQA"
+            or self.config.name == "SQuAD"
+            or self.config.name == "NaturalQuestions"
+        ):
+            if self.config.name == "SearchQA":
+                train_file_url = train_SearchQA
+                dev_file_url = dev_SearchQA
+
+            elif self.config.name == "TriviaQA":
+                train_file_url = train_TriviaQA
+                dev_file_url = dev_TriviaQA
+
+            elif self.config.name == "HotpotQA":
+                train_file_url = train_HotpotQA
+                dev_file_url = dev_HotpotQA
+
+            elif self.config.name == "SQuAD":
+                train_file_url = train_SQuAD
+                dev_file_url = dev_SQuAD
+
+            elif self.config.name == "NaturalQuestions":
+                train_file_url = train_NaturalQuestions
+                dev_file_url = dev_NaturalQuestions
+
+            train_file = dl_manager.download_and_extract(train_file_url)
+            dev_file = dl_manager.download_and_extract(dev_file_url)
+
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": os.path.join(train_file),
+                        "split": "train",
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.VALIDATION,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": os.path.join(dev_file),
+                        "split": "dev",
+                    },
+                ),
+            ]
+        else:
+
+            if self.config.name == "BioASQ":
+                test_file_url = test_BioASQ
+
+            elif self.config.name == "RelationExtraction":
+                test_file_url = test_RelationExtraction
+
+            elif self.config.name == "TextbookQA":
+                test_file_url = test_TextbookQA
+
+            elif self.config.name == "DuoRC":
+                test_file_url = test_DuoRC
+
+            test_file = dl_manager.download_and_extract(test_file_url)
+
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": os.path.join(test_file),
+                        "split": "test",
+                    },
+                ),
+            ]
+
+    def _generate_examples(self, filepath, split):
+        """ Yields examples. """
+        # This method will receive as arguments the `gen_kwargs` defined in the previous `_split_generators` method.
+        # It is in charge of opening the given file and yielding (key, example) tuples from the dataset
+        # The key is not important, it's more here for legacy reason (legacy from tfds)
+
+        with open(filepath, encoding="utf-8") as f:
+            for id_, row in enumerate(f):
+                data = json.loads(row)
+                yield id_, {
+                    "candidate_id": data["candidate_id"],
+                    "response_start": data["response_start"],
+                    "response_end": data["response_end"],
+                }