Datasets:
adding files
Browse files- README.md +165 -0
- dataset_infos.json +1 -0
- parsinlu_translation_fa_en.py +143 -0
README.md
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---
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annotations_creators:
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- expert-generated
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language_creators:
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- expert-generated
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languages:
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- fa
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licenses:
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- cc-by-nc-sa-4.0
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multilinguality:
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- fa
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- en
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size_categories:
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- 1K<n<10K
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source_datasets:
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- extended
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task_categories:
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- translation
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task_ids:
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- translation
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---
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# Dataset Card for PersiNLU (Machine Translation)
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## Table of Contents
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- [Dataset Card for PersiNLU (Machine Translation)](#dataset-card-for-persi_nlu_machine_translation)
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- [Table of Contents](#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 and Leaderboards](#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-fields)
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- [Data Splits](#data-splits)
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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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- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
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- [Who are the source language producers?](#who-are-the-source-language-producers)
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- [Annotations](#annotations)
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- [Annotation process](#annotation-process)
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- [Who are the annotators?](#who-are-the-annotators)
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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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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:** [Github](https://github.com/persiannlp/parsinlu/)
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- **Repository:** [Github](https://github.com/persiannlp/parsinlu/)
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- **Paper:** [Arxiv](https://arxiv.org/abs/2012.06154)
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- **Leaderboard:**
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- **Point of Contact:** [email protected]
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### Dataset Summary
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A Persian translation dataset (English -> Persian).
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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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The text dataset is in Persian (`fa`) and English (`en`).
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## Dataset Structure
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### Data Instances
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Here is an example from the dataset:
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```json
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{
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"source": "چه زحمتها که بکشد تا منابع مالی را تامین کند اصطلاحات را ترویج کند نهادهایی به راه اندازد.",
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"targets": ["how toil to raise funds, propagate reforms, initiate institutions!"],
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"category": "mizan_dev_en_fa"
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}
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```
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### Data Fields
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- `source`: the input sentences, in Persian.
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- `targets`: the list of gold target translations in English.
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- `category`: the source from which the example is mined.
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### Data Splits
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The train/dev/test split contains 1,622,281/2,138/47,745 samples.
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## Dataset Creation
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### Curation Rationale
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For details, check [the corresponding draft](https://arxiv.org/abs/2012.06154).
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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CC BY-NC-SA 4.0 License
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### Citation Information
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```bibtex
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@article{huggingface:dataset,
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title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},
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authors = {Khashabi, Daniel and Cohan, Arman and Shakeri, Siamak and Hosseini, Pedram and Pezeshkpour, Pouya and Alikhani, Malihe and Aminnaseri, Moin and Bitaab, Marzieh and Brahman, Faeze and Ghazarian, Sarik and others},
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year={2020}
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journal = {arXiv e-prints},
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eprint = {2012.06154},
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}
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```
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### Contributions
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Thanks to [@danyaljj](https://github.com/danyaljj) for adding this dataset.
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dataset_infos.json
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{"parsinlu-repo": {"description": "A Persian translation dataset (Persian -> English). \n", "citation": "@article{huggingface:dataset,\n title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},\n authors = {Khashabi, Daniel and Cohan, Arman and Shakeri, Siamak and Hosseini, Pedram and Pezeshkpour, Pouya and Alikhani, Malihe and Aminnaseri, Moin and Bitaab, Marzieh and Brahman, Faeze and Ghazarian, Sarik and others},\n year={2020}\n journal = {arXiv e-prints},\n eprint = {2012.06154}, \n}\n", "homepage": "https://github.com/persiannlp/parsinlu/", "license": "CC BY-NC-SA 4.0", "features": {"source": {"dtype": "string", "id": null, "_type": "Value"}, "targets": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "category": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "parsinlu_reading_comprehension", "config_name": "parsinlu-repo", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 273889436, "num_examples": 1622280, "dataset_name": "parsinlu_reading_comprehension"}, "test": {"name": "test", "num_bytes": 23003250, "num_examples": 47744, "dataset_name": "parsinlu_reading_comprehension"}, "validation": {"name": "validation", "num_bytes": 462962, "num_examples": 2137, "dataset_name": "parsinlu_reading_comprehension"}}, "download_checksums": {"https://media.githubusercontent.com/media/persiannlp/parsinlu/master/data/translation/translation_combined_fa_en/train.tsv": {"num_bytes": 252797553, "checksum": "8d09f7bf9d58e808c8f93a5a9321b9eb5668b19ed955fe0261bde1f77d4ace2d"}, "https://media.githubusercontent.com/media/persiannlp/parsinlu/master/data/translation/translation_combined_fa_en/dev.tsv": {"num_bytes": 435450, "checksum": "b808565327f1fc3c4f2c14e354eb654cb4eab19155e8320543ccf136ebd091ab"}, "https://media.githubusercontent.com/media/persiannlp/parsinlu/master/data/translation/translation_combined_fa_en/test.tsv": {"num_bytes": 22332746, "checksum": "67d9da6c6ae1579ec298522454af3c78b7d990fbc3a3745bdd65be4057b32903"}}, "download_size": 275565749, "post_processing_size": null, "dataset_size": 297355648, "size_in_bytes": 572921397}}
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parsinlu_translation_fa_en.py
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# coding=utf-8
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# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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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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"""ParsiNLU Persian reading comprehension task"""
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from __future__ import absolute_import, division, print_function
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import csv
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import json
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import datasets
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logger = datasets.logging.get_logger(__name__)
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_CITATION = """\
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@article{huggingface:dataset,
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title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},
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authors = {Khashabi, Daniel and Cohan, Arman and Shakeri, Siamak and Hosseini, Pedram and Pezeshkpour, Pouya and Alikhani, Malihe and Aminnaseri, Moin and Bitaab, Marzieh and Brahman, Faeze and Ghazarian, Sarik and others},
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year={2020}
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journal = {arXiv e-prints},
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eprint = {2012.06154},
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}
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"""
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# You can copy an official description
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_DESCRIPTION = """\
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A Persian translation dataset (Persian -> English).
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"""
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_HOMEPAGE = "https://github.com/persiannlp/parsinlu/"
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_LICENSE = "CC BY-NC-SA 4.0"
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_URL = "https://media.githubusercontent.com/media/persiannlp/parsinlu/master/data/translation/translation_combined_fa_en/"
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_URLs = {
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"train": _URL + "train.tsv",
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"dev": _URL + "dev.tsv",
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"test": _URL + "test.tsv",
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}
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class ParsinluReadingComprehension(datasets.GeneratorBasedBuilder):
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"""ParsiNLU Persian reading comprehension task."""
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="parsinlu-repo", version=VERSION, description="ParsiNLU repository: translation"
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),
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]
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def _info(self):
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features = datasets.Features(
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{
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"source": datasets.Value("string"),
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"targets": datasets.features.Sequence(
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datasets.Value("string")
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),
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"category": datasets.Value("string"),
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}
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)
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return datasets.DatasetInfo(
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# This is the description that will appear on the datasets page.
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description=_DESCRIPTION,
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# This defines the different columns of the dataset and their types
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features=features, # Here we define them above because they are different between the two configurations
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# If there's a common (input, target) tuple from the features,
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# specify them here. They'll be used if as_supervised=True in
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# builder.as_dataset.
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supervised_keys=None,
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# Homepage of the dataset for documentation
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homepage=_HOMEPAGE,
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# License for the dataset if available
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license=_LICENSE,
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# Citation for the dataset
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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data_dir = dl_manager.download_and_extract(_URLs)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": data_dir["train"],
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"split": "train",
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={"filepath": data_dir["test"], "split": "test"},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": data_dir["dev"],
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"split": "dev",
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},
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),
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]
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+
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def _generate_examples(self, filepath, split):
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120 |
+
logger.info("generating examples from = %s", filepath)
|
121 |
+
|
122 |
+
print(filepath)
|
123 |
+
with open(filepath) as f:
|
124 |
+
for id_, row in enumerate(f.readlines()):
|
125 |
+
try:
|
126 |
+
if id_ == 0:
|
127 |
+
continue
|
128 |
+
row = row.split("\t")
|
129 |
+
|
130 |
+
if len(row) < 3:
|
131 |
+
print(f"* Ignoring the following line since it doesn't have three columns: {row}")
|
132 |
+
continue
|
133 |
+
source = row[0].replace("\t", "").replace("\n", "")
|
134 |
+
targets = row[1].replace("\t", "").replace("\n", "").split('///')
|
135 |
+
category = row[2].replace("\t", "").replace("\n", "")
|
136 |
+
yield id_, {
|
137 |
+
'source': source,
|
138 |
+
'targets': targets,
|
139 |
+
'category': category,
|
140 |
+
}
|
141 |
+
except:
|
142 |
+
print(" * skipping . . . ")
|
143 |
+
|