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-version or of any later version published by the Free Software
-Foundation.  If the Program does not specify a version number of the
-GNU General Public License, you may choose any version ever published
-by the Free Software Foundation.
-  If the Program specifies that a proxy can decide which future
-versions of the GNU General Public License can be used, that proxy's
-public statement of acceptance of a version permanently authorizes you
-to choose that version for the Program.
-  Later license versions may give you additional or different
-permissions.  However, no additional obligations are imposed on any
-author or copyright holder as a result of your choosing to follow a
-later version.
-  15. Disclaimer of Warranty.
-  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
-APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
-HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
-OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
-THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
-PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
-IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
-ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
-  16. Limitation of Liability.
-  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
-WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
-THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
-GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
-USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
-DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
-PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
-EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
-SUCH DAMAGES.
-  17. Interpretation of Sections 15 and 16.
-  If the disclaimer of warranty and limitation of liability provided
-above cannot be given local legal effect according to their terms,
-reviewing courts shall apply local law that most closely approximates
-an absolute waiver of all civil liability in connection with the
-Program, unless a warranty or assumption of liability accompanies a
-copy of the Program in return for a fee.
-                     END OF TERMS AND CONDITIONS
-            How to Apply These Terms to Your New Programs
-  If you develop a new program, and you want it to be of the greatest
-possible use to the public, the best way to achieve this is to make it
-free software which everyone can redistribute and change under these terms.
-  To do so, attach the following notices to the program.  It is safest
-to attach them to the start of each source file to most effectively
-state the exclusion of warranty; and each file should have at least
-the "copyright" line and a pointer to where the full notice is found.
-    <one line to give the program's name and a brief idea of what it does.>
-    Copyright (C) <year>  <name of author>
-    This program is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-    This program is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-    You should have received a copy of the GNU General Public License
-    along with this program.  If not, see <https://www.gnu.org/licenses/>.
-Also add information on how to contact you by electronic and paper mail.
-  If the program does terminal interaction, make it output a short
-notice like this when it starts in an interactive mode:
-    <program>  Copyright (C) <year>  <name of author>
-    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
-    This is free software, and you are welcome to redistribute it
-    under certain conditions; type `show c' for details.
-The hypothetical commands `show w' and `show c' should show the appropriate
-parts of the General Public License.  Of course, your program's commands
-might be different; for a GUI interface, you would use an "about box".
-  You should also get your employer (if you work as a programmer) or school,
-if any, to sign a "copyright disclaimer" for the program, if necessary.
-For more information on this, and how to apply and follow the GNU GPL, see
-<https://www.gnu.org/licenses/>.
-  The GNU General Public License does not permit incorporating your program
-into proprietary programs.  If your program is a subroutine library, you
-may consider it more useful to permit linking proprietary applications with
-the library.  If this is what you want to do, use the GNU Lesser General
-Public License instead of this License.  But first, please read
-<https://www.gnu.org/licenses/why-not-lgpl.html>.

README.md DELETED Viewed

@@ -1,164 +0,0 @@
----
-annotations_creators:
-- no-annotation
-language_creators:
-- found
-- machine-generated
-language:
-- en
-- pt
-license:
-- lgpl-3.0
-multilinguality:
-- multilingual
-- translation
-size_categories:
-- 100K<n<1M
-source_datasets:
-- extended|eli5
-task_categories:
-- text2text-generation
-task_ids:
-- abstractive-qa
-- closed-domain-qa
-pretty_name: AskDocs
----
-# Dataset Card for askD
-## Table of Contents
-- [Table of Contents](#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
-- **Repository:** https://github.com/ju-resplande/askD
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
-### Dataset Summary
-[ELI5 dataset](https://huggingface.co/datasets/eli5) adapted on [Medical Questions (AskDocs)](https://www.reddit.com/r/AskDocs/) subreddit.
-We additionally translated to Portuguese and used <a href="https://github.com/LasseRegin/medical-question-answer-data"> external data from here<a>.
-### Supported Tasks and Leaderboards
-[More Information Needed]
-### Languages
-The language data in AskD is English (BCP-47 en) and Brazilian Portuguese (BCP-47 pt-BR)
-## Dataset Structure
-### Data Instances
-[More Information Needed]
-### Data Fields
-[More Information Needed]
-### Data Splits
-|                             | Train  | Valid | Test | External |
-| -----                       | ------ | ----- | ---- | -------- |
-| en                          | 24256  |  5198 | 5198 | 166804   |
-| pt                          | 24256  |  5198 | 5198 | 166804   |
-## Dataset Creation
-### Curation Rationale
-[More Information Needed]
-### Source Data
- The dataset questions and answers span a period from January 2013 to December 2019.
-#### Initial Data Collection and Normalization
-[More Information Needed]
-#### Who are the source language producers?
-[More Information Needed]
-### Annotations
-#### Annotation process
-[More Information Needed]
-#### Who are the annotators?
-[More Information Needed]
-### 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
-[More Information Needed]
-### Licensing Information
-[More Information Needed]
-### Citation Information
-```bibtex
-@misc{Gomes20202,
-  author = {GOMES, J. R. S.},
-  title = {PLUE: Portuguese Language Understanding Evaluation},
-  year = {2020},
-  publisher = {GitHub},
-  journal = {GitHub repository},
-  howpublished = {\url{https://github.com/ju-resplande/askD}},
-  commit = {42060c4402c460e174cbb75a868b429c554ba2b7}
-}
-```
-### Contributions
-Thanks to [@ju-resplande](https://github.com/ju-resplande) for adding this dataset.

askD.py DELETED Viewed

@@ -1,108 +0,0 @@
-# coding=utf-8
-# Lint as: python3
-"""AskDocs: A medical QA dataset."""
-import json
-import datasets
-logger = datasets.logging.get_logger(__name__)
-_CITATION = """\
-#TODO: citation
-}
-"""
-_DESCRIPTION = """\
-#TODO: description
-"""
-class AskDConfig(datasets.BuilderConfig):
-    """BuilderConfig for AskD."""
-    def __init__(self, **kwargs):
-        """BuilderConfig for AskD.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(AskDConfig, self).__init__(**kwargs)
-class AskD(datasets.GeneratorBasedBuilder):
-    """AskDocs: A medical QA dataset."""
-    VERSION = datasets.Version("0.0.0")
-    BUILDER_CONFIGS = [
-        AskDConfig(
-            name="default",
-            version=datasets.Version("0.0.0"),
-            description="Default config",
-        ),
-    ]
-    DEFAULT_CONFIG_NAME = "default"
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "q_id": datasets.Value("string"),
-                    "title": datasets.Value("string"),
-                    "selftext": datasets.Value("string"),
-                    "document": datasets.Value("string"),
-                    "subreddit": datasets.Value("string"),
-                    "answers": {
-                        "a_id": datasets.features.Sequence(datasets.Value("string")),
-                        "text": datasets.features.Sequence(datasets.Value("string")),
-                        "score": datasets.features.Sequence(datasets.Value("int32")),
-                    },
-                    "title_urls": datasets.features.Sequence(datasets.Value("string")),
-                    "selftext_urls": datasets.features.Sequence(
-                        datasets.Value("string")
-                    ),
-                    "answers_urls": datasets.features.Sequence(datasets.Value("string")),
-                }
-            ),
-            supervised_keys=None,
-            citation=_CITATION,
-        )
-    def _split_generators(self, dl_manager):
-        _URL = "https://github.com/ju-resplande/askD/releases/download/v0.0.0/"
-        _SPLITS = [
-            "train",
-            "validation",
-            "test",
-            "external"
-        ]
-        _LANGS = [
-            "pt",
-            "en"
-        ]
-        _URLS = {
-            f"{split}_{lang}": f"{_URL}{split}_{lang}.json"
-            for split in _SPLITS
-            for lang in _LANGS
-        }
-        downloaded_files = dl_manager.download_and_extract(_URLS)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split(key),
-                gen_kwargs={"filepath": downloaded_files[key]},
-            )
-            for key in downloaded_files
-        ]
-    def _generate_examples(self, filepath):
-        logger.info("generating examples from = %s", filepath)
-        with open(filepath, encoding="utf-8") as f:
-            example = json.load(f)
-            for id_, row in enumerate(example):
-                yield id_, row

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@@ -1,146 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from pprint import pprint\n",
-    "from tqdm import tqdm\n",
-    "import json"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "with open('data/askd_pt.json') as f:\n",
-    "    pt = json.load(f)\n",
-    "\n",
-    "dataset = dict()\n",
-    "dataset['train_pt'] = pt['train_askd']\n",
-    "dataset['validation_pt'] = pt['validation_askd']\n",
-    "dataset['test_pt'] = pt['test_askd']\n",
-    "\n",
-    "with open('data/askd_en_augmented.json') as f:\n",
-    "    en = json.load(f)\n",
-    "\n",
-    "dataset['train_en'] = en['train_askd']\n",
-    "dataset['validation_en'] = en['validation_askd']\n",
-    "dataset['test_en'] = en['test_askd']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for split in dataset:\n",
-    "    for item in dataset[split]:\n",
-    "        for key in [\"selftext_urls\", \"title_urls\", \"answers_urls\"]:\n",
-    "            if not isinstance(item[key], list):\n",
-    "                item[key] = [item[key]]\n",
-    "        \n",
-    "        for key in [\"a_id\", \"score\", \"text\"]:\n",
-    "            if not isinstance(item['answers'][key], list):\n",
-    "                item['answers'][key] = [item['answers'][key]]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "100%|██████████| 24256/24256 [00:00<00:00, 1048176.28it/s]\n",
-      "100%|██████████| 5198/5198 [00:00<00:00, 1092120.03it/s]\n",
-      "100%|██████████| 5198/5198 [00:00<00:00, 1032878.16it/s]\n",
-      "100%|██████████| 141019/141019 [13:54<00:00, 169.05it/s]  \n",
-      "100%|██████████| 30219/30219 [00:19<00:00, 1549.74it/s]\n",
-      "100%|██████████| 30218/30218 [00:17<00:00, 1734.32it/s]\n"
-     ]
-    }
-   ],
-   "source": [
-    "external_pt = list()\n",
-    "external_en = list()\n",
-    "\n",
-    "for split in dataset:\n",
-    "    for item in tqdm(dataset[split].copy()):\n",
-    "        if item['answers']['a_id'] == ['0']:\n",
-    "            dataset[split].remove(item)\n",
-    "\n",
-    "            if split.endswith('pt'):\n",
-    "                external_pt.append(item)\n",
-    "            else:\n",
-    "                external_en.append(item)\n",
-    "\n",
-    "dataset['external_en'] = external_en\n",
-    "dataset['external_pt'] = external_pt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for split in dataset:\n",
-    "    with open(f'data/{split}.json', 'w') as f:\n",
-    "        json.dump(dataset[split], f)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "dict_keys(['train_pt', 'validation_pt', 'test_pt', 'train_en', 'validation_en', 'test_en', 'external_en', 'external_pt'])"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dataset.keys()"
-   ]
-  }
- ],
- "metadata": {
-  "interpreter": {
-   "hash": "5550a332701dfaf727177dbb42680f614fbec3c4b4c54b659bea7821910aed98"
-  },
-  "kernelspec": {
-   "display_name": "Python 3.9.7 ('base')",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.7"
-  },
-  "orig_nbformat": 4
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}

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