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 *.pb filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
+parsinlu-repo/parsinlu_translation_en_fa-train.parquet filter=lfs diff=lfs merge=lfs -text
+parsinlu-repo/parsinlu_translation_en_fa-test.parquet filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,165 +0,0 @@
----
-annotations_creators:
-- expert-generated
-language_creators:
-- expert-generated
-language:
-- fa
-license:
-- cc-by-nc-sa-4.0
-multilinguality:
-- fa
-- en
-size_categories:
-- 1K<n<10K
-source_datasets:
-- extended
-task_categories:
-- translation
-task_ids:
-- translation
----
-
-# Dataset Card for PersiNLU (Machine Translation)
-
-## Table of Contents
-- [Dataset Card for PersiNLU (Machine Translation)](#dataset-card-for-persi_nlu_machine_translation)
-  - [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)
-      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
-      - [Who are the source language producers?](#who-are-the-source-language-producers)
-    - [Annotations](#annotations)
-      - [Annotation process](#annotation-process)
-      - [Who are the annotators?](#who-are-the-annotators)
-    - [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:** [Github](https://github.com/persiannlp/parsinlu/)
-- **Repository:** [Github](https://github.com/persiannlp/parsinlu/)
-- **Paper:** [Arxiv](https://arxiv.org/abs/2012.06154)
-- **Leaderboard:** 
-- **Point of Contact:** d.khashabi@gmail.com
-
-### Dataset Summary
-
-A Persian translation dataset (English -> Persian).
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-
-The text dataset is in Persian (`fa`) and English (`en`).
-
-## Dataset Structure
-
-### Data Instances
-
-Here is an example from the dataset: 
-```json
-{
-    "source": "how toil to raise funds, propagate reforms, initiate institutions!", 
-    "targets": ["چه زحمت‌ها که بکشد تا منابع مالی را تامین کند اصطلاحات را ترویج کند نهادهایی به راه اندازد."],  
-    "category": "mizan_dev_en_fa"
-}
-```
-
-### Data Fields
-
-- `source`: the input sentences, in English. 
-- `targets`: the list of gold target translations in Persian.   
-- `category`: the source from which the dataset is mined.  
-
-### Data Splits
-
-The train/de/test split contains 1,621,666/2,138/48,360 samples.
-
-## Dataset Creation
-
-### Curation Rationale
-
-For details, check [the corresponding draft](https://arxiv.org/abs/2012.06154).
-
-### Source Data
-
-#### 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
-
-CC BY-NC-SA 4.0 License 
-
-### Citation Information
-```bibtex 
-@article{huggingface:dataset,
-    title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},
-    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},
-    year={2020}
-    journal = {arXiv e-prints},
-    eprint = {2012.06154},    
-}
-```
-
-### Contributions
-
-Thanks to [@danyaljj](https://github.com/danyaljj) for adding this dataset.

dataset_infos.json

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-{"parsinlu-repo": {"description": "A Persian translation dataset (English -> Persian).     \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": 273771491, "num_examples": 1621665, "dataset_name": "parsinlu_reading_comprehension"}, "test": {"name": "test", "num_bytes": 30039687, "num_examples": 48359, "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_en_fa/train.tsv": {"num_bytes": 252687603, "checksum": "fbce4154a42a3fa8e3903c8ab4ae8cbac769a641de2274c0ed83ccf978f6b770"}, "https://media.githubusercontent.com/media/persiannlp/parsinlu/master/data/translation/translation_combined_en_fa/dev.tsv": {"num_bytes": 435450, "checksum": "337a051b881709033da9c9e34405102feaca48879d59895d31c953e6cb880b74"}, "https://media.githubusercontent.com/media/persiannlp/parsinlu/master/data/translation/translation_combined_en_fa/test.tsv": {"num_bytes": 29348716, "checksum": "f53b2613e8e63b94d26853b06e16e5f86a6c5600200ec07f99e2d7da4868a06a"}}, "download_size": 282471769, "post_processing_size": null, "dataset_size": 304274140, "size_in_bytes": 586745909}}

parsinlu-repo/parsinlu_translation_en_fa-test.parquet

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parsinlu-repo/parsinlu_translation_en_fa-train.parquet

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parsinlu_translation_en_fa.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.
-"""ParsiNLU Persian reading comprehension task"""
-
-from __future__ import absolute_import, division, print_function
-
-import csv
-import json
-
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-_CITATION = """\
-@article{huggingface:dataset,
-    title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},
-    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},
-    year={2020}
-    journal = {arXiv e-prints},
-    eprint = {2012.06154},    
-}
-"""
-
-# You can copy an official description
-_DESCRIPTION = """\
-A Persian translation dataset (English -> Persian).     
-"""
-
-_HOMEPAGE = "https://github.com/persiannlp/parsinlu/"
-
-_LICENSE = "CC BY-NC-SA 4.0"
-
-_URL = "https://media.githubusercontent.com/media/persiannlp/parsinlu/master/data/translation/translation_combined_en_fa/"
-_URLs = {
-    "train": _URL + "train.tsv",
-    "dev": _URL + "dev.tsv",
-    "test": _URL + "test.tsv",
-}
-
-
-class ParsinluReadingComprehension(datasets.GeneratorBasedBuilder):
-    """ParsiNLU Persian reading comprehension task."""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="parsinlu-repo", version=VERSION, description="ParsiNLU repository: translation"
-        ),
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "source": datasets.Value("string"),
-                "targets": datasets.features.Sequence(
-                    datasets.Value("string")
-                ),
-                "category": datasets.Value("string"),
-            }
-        )
-
-        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,  # Here we define them above because they are different between the two configurations
-            # 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=_HOMEPAGE,
-            # License for the dataset if available
-            license=_LICENSE,
-            # Citation for the dataset
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        data_dir = dl_manager.download_and_extract(_URLs)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": data_dir["train"],
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": data_dir["test"], "split": "test"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": data_dir["dev"],
-                    "split": "dev",
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        logger.info("generating examples from = %s", filepath)
-
-        print(filepath)
-        with open(filepath) as f:
-            for id_, row in enumerate(f.readlines()):
-                try:
-                    if id_ == 0:
-                        continue
-                    row = row.split("\t")
-
-                    if len(row) < 3:
-                        print(f"* Ignoring the following line since it doesn't have three columns: {row}")
-                        continue
-                    source = row[0].replace("\t", "").replace("\n", "")
-                    targets = row[1].replace("\t", "").replace("\n", "").split('///')
-                    category = row[2].replace("\t", "").replace("\n", "")
-                    yield id_, {
-                        'source': source,
-                        'targets': targets,
-                        'category': category,
-                    }
-                except:
-                    print(" * skipping . . . ")
-