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README.md

@@ -1,318 +0,0 @@
----
-annotations_creators:
-- crowdsourced
-language:
-- en
-language_creators:
-- found
-license:
-- other
-multilinguality:
-- monolingual
-pretty_name: WikiQA
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-task_categories:
-- question-answering
-task_ids:
-- open-domain-qa
-paperswithcode_id: wikiqa
-dataset_info:
-  features:
-  - name: question_id
-    dtype: string
-  - name: question
-    dtype: string
-  - name: document_title
-    dtype: string
-  - name: answer
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: '0'
-          1: '1'
-  splits:
-  - name: test
-    num_bytes: 1337903
-    num_examples: 6165
-  - name: train
-    num_bytes: 4469148
-    num_examples: 20360
-  - name: validation
-    num_bytes: 591833
-    num_examples: 2733
-  download_size: 7094233
-  dataset_size: 6398884
----
-
-# Dataset Card for "wiki_qa"
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [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)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** [https://www.microsoft.com/en-us/download/details.aspx?id=52419](https://www.microsoft.com/en-us/download/details.aspx?id=52419)
-- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Paper:** [WikiQA: A Challenge Dataset for Open-Domain Question Answering](https://aclanthology.org/D15-1237/)
-- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Size of downloaded dataset files:** 6.77 MB
-- **Size of the generated dataset:** 6.10 MB
-- **Total amount of disk used:** 12.87 MB
-
-### Dataset Summary
-
-Wiki Question Answering corpus from Microsoft.
-
-The WikiQA corpus is a publicly available set of question and sentence pairs, collected and annotated for research on open-domain question answering.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Languages
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Dataset Structure
-
-### Data Instances
-
-#### default
-
-- **Size of downloaded dataset files:** 6.77 MB
-- **Size of the generated dataset:** 6.10 MB
-- **Total amount of disk used:** 12.87 MB
-
-An example of 'train' looks as follows.
-```
-{
-    "answer": "Glacier caves are often called ice caves , but this term is properly used to describe bedrock caves that contain year-round ice.",
-    "document_title": "Glacier cave",
-    "label": 0,
-    "question": "how are glacier caves formed?",
-    "question_id": "Q1"
-}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-#### default
-- `question_id`: a `string` feature.
-- `question`: a `string` feature.
-- `document_title`: a `string` feature.
-- `answer`: a `string` feature.
-- `label`: a classification label, with possible values including `0` (0), `1` (1).
-
-### Data Splits
-
-| name  |train|validation|test|
-|-------|----:|---------:|---:|
-|default|20360|      2733|6165|
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the source language producers?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the annotators?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Personal and Sensitive Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Discussion of Biases
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Other Known Limitations
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Licensing Information
-
-MICROSOFT RESEARCH DATA LICENSE AGREEMENT
-FOR
-MICROSOFT RESEARCH WIKIQA CORPUS
-
-These license terms are an agreement between Microsoft Corporation (or based on where you live, one of its
-affiliates) and you. Please read them. They apply to the data associated with this license above, which includes
-the media on which you received it, if any. The terms also apply to any Microsoft:
-- updates,
-- supplements,
-- Internet-based services, and
-- support services
-for this data, unless other terms accompany those items. If so, those terms apply.
-BY USING THE DATA, YOU ACCEPT THESE TERMS. IF YOU DO NOT ACCEPT THEM, DO NOT USE THE DATA.
-If you comply with these license terms, you have the rights below.
-
-1. SCOPE OF LICENSE.
-a. You may use, copy, modify, create derivative works, and distribute the Dataset:
-i. for research and technology development purposes only. Examples of research and technology
-development uses are teaching, academic research, public demonstrations and experimentation ;
-and
-ii. to publish (or present papers or articles) on your results from using such Dataset.
-b. The data is licensed, not sold. This agreement only gives you some rights to use the data. Microsoft reserves
-all other rights. Unless applicable law gives you more rights despite this limitation, you may use the data only
-as expressly permitted in this agreement. In doing so, you must comply with any technical limitations in the
-data that only allow you to use it in certain ways.
-You may not
-- work around any technical limitations in the data;
-- reverse engineer, decompile or disassemble the data, except and only to the extent that applicable law
-expressly permits, despite this limitation;
-- rent, lease or lend the data;
-- transfer the data or this agreement to any third party; or
-- use the data directly in a commercial product without Microsoft’s permission.
-
-2. DISTRIBUTION REQUIREMENTS:
-a. If you distribute the Dataset or any derivative works of the Dataset, you will distribute them under the
-same terms and conditions as in this Agreement, and you will not grant other rights to the Dataset or
-derivative works that are different from those provided by this Agreement.
-b. If you have created derivative works of the Dataset, and distribute such derivative works, you will
-cause the modified files to carry prominent notices so that recipients know that they are not receiving
-Page 1 of 3the original Dataset. Such notices must state: (i) that you have changed the Dataset; and (ii) the date
-of any changes.
-
-3. DISTRIBUTION RESTRICTIONS. You may not: (a) alter any copyright, trademark or patent notice in the
-Dataset; (b) use Microsoft’s trademarks in a way that suggests your derivative works or modifications come from
-or are endorsed by Microsoft; (c) include the Dataset in malicious, deceptive or unlawful programs.
-
-4. OWNERSHIP. Microsoft retains all right, title, and interest in and to any Dataset provided to you under this
-Agreement. You acquire no interest in the Dataset you may receive under the terms of this Agreement.
-
-5. LICENSE TO MICROSOFT. Microsoft is granted back, without any restrictions or limitations, a non-exclusive,
-perpetual, irrevocable, royalty-free, assignable and sub-licensable license, to reproduce, publicly perform or
-display, use, modify, post, distribute, make and have made, sell and transfer your modifications to and/or
-derivative works of the Dataset, for any purpose.
-
-6. FEEDBACK. If you give feedback about the Dataset to Microsoft, you give to Microsoft, without charge, the right
-to use, share and commercialize your feedback in any way and for any purpose. You also give to third parties,
-without charge, any patent rights needed for their products, technologies and services to use or interface with
-any specific parts of a Microsoft dataset or service that includes the feedback. You will not give feedback that is
-subject to a license that requires Microsoft to license its Dataset or documentation to third parties because we
-include your feedback in them. These rights survive this Agreement.
-
-7. EXPORT RESTRICTIONS. The Dataset is subject to United States export laws and regulations. You must
-comply with all domestic and international export laws and regulations that apply to the Dataset. These laws
-include restrictions on destinations, end users and end use. For additional information, see
-www.microsoft.com/exporting.
-
-8. ENTIRE AGREEMENT. This Agreement, and the terms for supplements, updates, Internet-based services and
-support services that you use, are the entire agreement for the Dataset.
-
-9. SUPPORT SERVICES. Because this data is “as is,” we may not provide support services for it.
-
-10. APPLICABLE LAW.
-a. United States. If you acquired the software in the United States, Washington state law governs the
-interpretation of this agreement and applies to claims for breach of it, regardless of conflict of laws principles.
-The laws of the state where you live govern all other claims, including claims under state consumer protection
-laws, unfair competition laws, and in tort.
-b. Outside the United States. If you acquired the software in any other country, the laws of that country
-apply.
-
-11. LEGAL EFFECT. This Agreement describes certain legal rights. You may have other rights under the laws of your
-country. You may also have rights with respect to the party from whom you acquired the Dataset. This
-Agreement does not change your rights under the laws of your country if the laws of your country do not permit
-it to do so.
-
-12. DISCLAIMER OF WARRANTY. The Dataset is licensed “as-is.” You bear the risk of using it. Microsoft gives no
-express warranties, guarantees or conditions. You may have additional consumer rights or statutory guarantees
-under your local laws which this agreement cannot change. To the extent permitted under your local laws,
-Microsoft excludes the implied warranties of merchantability, fitness for a particular purpose and non-
-infringement.
-
-13. LIMITATION ON AND EXCLUSION OF REMEDIES AND DAMAGES. YOU CAN RECOVER FROM
-MICROSOFT AND ITS SUPPLIERS ONLY DIRECT DAMAGES UP TO U.S. $5.00. YOU CANNOT RECOVER ANY
-OTHER DAMAGES, INCLUDING CONSEQUENTIAL, LOST PROFITS, SPECIAL, INDIRECT OR INCIDENTAL
-DAMAGES.
-
-This limitation applies to
-- anything related to the software, services, content (including code) on third party Internet sites, or third party
-programs; and Page 2 of 3
-- claims for breach of contract, breach of warranty, guarantee or condition, strict liability, negligence, or other
- tort to the extent permitted by applicable law.
-
-It also applies even if Microsoft knew or should have known about the possibility of the damages. The above
-limitation or exclusion may not apply to you because your country may not allow the exclusion or limitation of
-incidental, consequential or other damages.
-
-### Citation Information
-
-```
-@inproceedings{yang-etal-2015-wikiqa,
-    title = "{W}iki{QA}: A Challenge Dataset for Open-Domain Question Answering",
-    author = "Yang, Yi  and
-      Yih, Wen-tau  and
-      Meek, Christopher",
-    booktitle = "Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing",
-    month = sep,
-    year = "2015",
-    address = "Lisbon, Portugal",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/D15-1237",
-    doi = "10.18653/v1/D15-1237",
-    pages = "2013--2018",
-}
-```
-
-### Contributions
-
-Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham), [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf) for adding this dataset.

dataset_infos.json

@@ -1 +0,0 @@
-{"default": {"description": "Wiki Question Answering corpus from Microsoft\n", "citation": "@InProceedings{YangYihMeek:EMNLP2015:WikiQA,\n       author = {{Yi}, Yang and {Wen-tau},  Yih and {Christopher} Meek},\n        title = \"{WikiQA: A Challenge Dataset for Open-Domain Question Answering}\",\n      journal = {Association for Computational Linguistics},\n         year = 2015,\n          doi = {10.18653/v1/D15-1237},\n        pages = {2013\u20132018},\n}\n", "homepage": "https://www.microsoft.com/en-us/download/details.aspx?id=52419", "license": "", "features": {"question_id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "document_title": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "supervised_keys": null, "builder_name": "wiki_qa", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1337903, "num_examples": 6165, "dataset_name": "wiki_qa"}, "train": {"name": "train", "num_bytes": 4469148, "num_examples": 20360, "dataset_name": "wiki_qa"}, "validation": {"name": "validation", "num_bytes": 591833, "num_examples": 2733, "dataset_name": "wiki_qa"}}, "download_checksums": {"https://download.microsoft.com/download/E/5/f/E5FCFCEE-7005-4814-853D-DAA7C66507E0/WikiQACorpus.zip": {"num_bytes": 7094233, "checksum": "467c13f9e104552c0a9c16f41836ca8d89f9c0cc4b6e4355e104d5c3109ffa45"}}, "download_size": 7094233, "dataset_size": 6398884, "size_in_bytes": 13493117}}

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wiki_qa.py

@@ -1,96 +0,0 @@
-"""TODO(wiki_qa): Add a description here."""
-
-
-import csv
-import os
-
-import datasets
-
-
-# TODO(wiki_qa): BibTeX citation
-_CITATION = """\
-@InProceedings{YangYihMeek:EMNLP2015:WikiQA,
-       author = {{Yi}, Yang and {Wen-tau},  Yih and {Christopher} Meek},
-        title = "{WikiQA: A Challenge Dataset for Open-Domain Question Answering}",
-      journal = {Association for Computational Linguistics},
-         year = 2015,
-          doi = {10.18653/v1/D15-1237},
-        pages = {2013–2018},
-}
-"""
-
-# TODO(wiki_qa):
-_DESCRIPTION = """\
-Wiki Question Answering corpus from Microsoft
-"""
-
-_DATA_URL = "https://download.microsoft.com/download/E/5/f/E5FCFCEE-7005-4814-853D-DAA7C66507E0/WikiQACorpus.zip"  # 'https://www.microsoft.com/en-us/download/confirmation.aspx?id=52419'
-
-
-class WikiQa(datasets.GeneratorBasedBuilder):
-    """TODO(wiki_qa): Short description of my dataset."""
-
-    # TODO(wiki_qa): Set up version.
-    VERSION = datasets.Version("0.1.0")
-
-    def _info(self):
-        # TODO(wiki_qa): Specifies the datasets.DatasetInfo object
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # datasets.features.FeatureConnectors
-            features=datasets.Features(
-                {
-                    "question_id": datasets.Value("string"),
-                    "question": datasets.Value("string"),
-                    "document_title": datasets.Value("string"),
-                    "answer": datasets.Value("string"),
-                    "label": datasets.features.ClassLabel(num_classes=2),
-                    # These are the features of your dataset like images, labels ...
-                }
-            ),
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage="https://www.microsoft.com/en-us/download/details.aspx?id=52419",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # TODO(wiki_qa): Downloads the data and defines the splits
-        # dl_manager is a datasets.download.DownloadManager that can be used to
-        # download and extract URLs
-        dl_dir = dl_manager.download_and_extract(_DATA_URL)
-        dl_dir = os.path.join(dl_dir, "WikiQACorpus")
-        # dl_dir = os.path.join(dl_dir, '')
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(dl_dir, "WikiQA-test.tsv")}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(dl_dir, "WikiQA-dev.tsv")}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": os.path.join(dl_dir, "WikiQA-train.tsv")},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        # TODO(wiki_qa): Yields (key, example) tuples from the dataset
-
-        with open(filepath, encoding="utf-8") as f:
-            reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
-            for idx, row in enumerate(reader):
-                yield idx, {
-                    "question_id": row["QuestionID"],
-                    "question": row["Question"],
-                    "document_title": row["DocumentTitle"],
-                    "answer": row["Sentence"],
-                    "label": row["Label"],
-                }