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Update files from the datasets library (from 1.2.0)

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

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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bin.* filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ annotations_creators:
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+ - found
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+ language_creators:
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+ - found
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+ languages:
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+ - en
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+ licenses:
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+ - unknown
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets:
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+ - extended|other-yahoo-webscope-l6
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+ task_categories:
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+ - question-answering
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+ task_ids:
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+ - open-domain-qa
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+ ---
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+
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+ # Dataset Card Creation Guide
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-instances)
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+ - [Data Splits](#data-instances)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [Add homepage URL here if available (unless it's a GitHub repository)]()
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+ - **Repository:** [If the dataset is hosted on github or has a github homepage, add URL here]()
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+ - **Paper:** [If the dataset was introduced by a paper or there was a paper written describing the dataset, add URL here (landing page for Arxiv paper preferred)]()
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+ - **Leaderboard:** [If the dataset supports an active leaderboard, add link here]()
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+ - **Point of Contact:** [If known, name and email of at least one person the reader can contact for questions about the dataset.]()
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+
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+ ### Dataset Summary
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+
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+ [More Information Needed]
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [More Information Needed]
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+
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+ ### Languages
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+
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+ [More Information Needed]
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ [More Information Needed]
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+
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+ ### Data Fields
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+
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+ [More Information Needed]
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+
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+ ### Data Splits
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+
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+ [More Information Needed]
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ [More Information Needed]
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ [More Information Needed]
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+
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+ #### Annotation process
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
116
+ ### Social Impact of Dataset
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+
118
+ [More Information Needed]
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+
120
+ ### Discussion of Biases
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+
122
+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [More Information Needed]
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+
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+ ### Licensing Information
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+
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+ [More Information Needed]
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+
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+ ### Citation Information
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+
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+ [More Information Needed]
dataset_infos.json ADDED
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+ {"yahoo_answers_qa": {"description": "Yahoo Non-Factoid Question Dataset is derived from Yahoo's Webscope L6 collection using machine learning techiques such that the questions would contain non-factoid answers.The dataset contains 87,361 questions and their corresponding answers. Each question contains its best answer along with additional other answers submitted by users. Only the best answer was reviewed in determining the quality of the question-answer pair.\n", "citation": "", "homepage": "https://ciir.cs.umass.edu/downloads/nfL6/index.html", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}, "nbestanswers": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "main_category": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "yahoo_answers_qa", "config_name": "yahoo_answers_qa", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 138540510, "num_examples": 87362, "dataset_name": "yahoo_answers_qa"}}, "download_checksums": {"https://ciir.cs.umass.edu/downloads/nfL6/nfL6.json.gz": {"num_bytes": 49411220, "checksum": "527ff8a1d898dfbb500e373f102a0e8f2d206dcb2c75c187d59902c3688b4ff3"}}, "download_size": 49411220, "post_processing_size": null, "dataset_size": 138540510, "size_in_bytes": 187951730}}
dummy/yahoo_answers_qa/1.0.0/dummy_data.zip ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:f78f423a6cb1d24108096804044088ba8bafcebc11b06d52d981805084f3bd3b
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+ size 4150
yahoo_answers_qa.py ADDED
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+ # coding=utf-8
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+ # Copyright 2020 The HuggingFace Datasets Authors.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+ """Yahoo Non-Factoid Question Dataset"""
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+
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+ from __future__ import absolute_import, division, print_function
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+
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+ import json
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+ import logging
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+ import os
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+
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+ import datasets
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+
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+
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+ _DESCRIPTION = """\
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+ Yahoo Non-Factoid Question Dataset is derived from Yahoo's Webscope L6 collection using machine learning techiques such \
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+ that the questions would contain non-factoid answers.The dataset contains 87,361 questions and their corresponding answers. \
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+ Each question contains its best answer along with additional other answers submitted by users. \
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+ Only the best answer was reviewed in determining the quality of the question-answer pair.
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+ """
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+
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+ _URL = "https://ciir.cs.umass.edu/downloads/nfL6/nfL6.json.gz"
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+
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+
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+ class YahooAnswersQa(datasets.GeneratorBasedBuilder):
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+ """Yahoo Non-Factoid Question Dataset"""
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+
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+ VERSION = datasets.Version("1.0.0")
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+ BUILDER_CONFIGS = [datasets.BuilderConfig(name="yahoo_answers_qa", version=datasets.Version("1.0.0"))]
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+
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+ def _info(self):
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features(
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+ {
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+ "id": datasets.Value("string"),
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+ "question": datasets.Value("string"),
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+ "answer": datasets.Value("string"),
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+ "nbestanswers": datasets.features.Sequence(datasets.Value("string")),
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+ "main_category": datasets.Value("string"),
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+ }
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+ ),
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+ supervised_keys=None,
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+ homepage="https://ciir.cs.umass.edu/downloads/nfL6/index.html",
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ downloaded_file = dl_manager.download_and_extract(_URL)
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+ return [
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+ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_file}),
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+ ]
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+
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+ def _generate_examples(self, filepath):
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+ logging.info("⏳ Generating examples from = %s", filepath)
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+ if os.path.isdir(filepath):
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+ filepath = os.path.join(filepath, "nfL6.json")
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+ with open(filepath, encoding="utf-8") as f:
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+ data = json.load(f)
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+ for example in data:
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+ yield example["id"], example