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README.md

@@ -1,169 +0,0 @@
----
-annotations_creators:
-- expert-generated
-language_creators:
-- expert-generated
-language:
-- fa
-license:
-- cc-by-nc-sa-4.0
-multilinguality:
-- monolingual
-size_categories:
-- 1K<n<10K
-source_datasets:
-- extended|translated|mnli
-task_categories:
-- textual-entailment
-- natural-language-inference
-task_ids:
-- textual-entailment
-- natural-language-inference
----
-
-# Dataset Card for PersiNLU (Textual Entailment)
-
-## Table of Contents
-- [Dataset Card for PersiNLU (Textual Entailment)](#dataset-card-for-persi_nlu_entailment)
-  - [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 textual entailment task (deciding `sent1` entails `sent2`). 
-The questions are partially translated from the SNLI dataset and partially generated by expert annotators. 
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-
-The text dataset is in Persian (`fa`).
-
-## Dataset Structure
-
-### Data Instances
-
-Here is an example from the dataset: 
-```json 
-{
-  "sent1": "سالها است که کنگره در تلاش است تا اثربخشی مدیریت اطلاعات و فناوری را در دولت فدرال افزایش دهد.",
-  "sent2": "کنگره بودجه ویژه ای برای مدیریت اطلاعات و فناوری در دولت فدرال دارد.",
-  "label": "n",
-  "category": "translation-train"
-}
-```
-
-### Data Fields
-
-- `sent1`: the first sentence.
-- `sent2`: the second sentence. 
-- `source`: whether the questions are translated from MNLI (`translation-.`) or they're written by native speakers (`natural-.`).   
-- `label`: `e` if `sent2` is entailed from `sent1`; `c` if `sent2` is contradictory to `sent1`; `n` if the two sentences are neutral.     
-
-### Data Splits
-
-The train/dev/test splits contains 756/271/1751 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

@@ -1 +0,0 @@
-{"parsinlu-repo": {"description": "A Persian textual entailment task (deciding `sent1` entails `sent2`).     \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": {"sent1": {"dtype": "string", "id": null, "_type": "Value"}, "sent2": {"dtype": "string", "id": null, "_type": "Value"}, "category": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"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": 259978, "num_examples": 755, "dataset_name": "parsinlu_reading_comprehension"}, "test": {"name": "test", "num_bytes": 589180, "num_examples": 1675, "dataset_name": "parsinlu_reading_comprehension"}, "validation": {"name": "validation", "num_bytes": 96731, "num_examples": 270, "dataset_name": "parsinlu_reading_comprehension"}}, "download_checksums": {"https://raw.githubusercontent.com/persiannlp/parsinlu/master/data/entailment/train.csv": {"num_bytes": 254228, "checksum": "5e3847a4fc3011dbe52fdc6e2c8ff3d8c1e448ec236c477e860fe0266d3f6d79"}, "https://raw.githubusercontent.com/persiannlp/parsinlu/master/data/entailment/dev.csv": {"num_bytes": 94708, "checksum": "c474270a24d63a1b3e055fdd3f8ecd46f58e76da224c6223add84b88b87d6dcf"}, "https://raw.githubusercontent.com/persiannlp/parsinlu/master/data/entailment/test.csv": {"num_bytes": 576505, "checksum": "cb25c16b51dd5a61ed832be9fee6a4d9eb6b645e5f2caa8ebb665ed190ffdebd"}}, "download_size": 925441, "post_processing_size": null, "dataset_size": 945889, "size_in_bytes": 1871330}}

parsinlu_entailment.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 textual entailment task (deciding `sent1` entails `sent2`).     
-"""
-
-_HOMEPAGE = "https://github.com/persiannlp/parsinlu/"
-
-_LICENSE = "CC BY-NC-SA 4.0"
-
-_URL = "https://raw.githubusercontent.com/persiannlp/parsinlu/master/data/entailment/"
-_URLs = {
-    "train": _URL + "train.csv",
-    "dev": _URL + "dev.csv",
-    "test": _URL + "test.csv",
-}
-
-
-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: query-paraphrasing"
-        ),
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "sent1": datasets.Value("string"),
-                "sent2": datasets.Value("string"),
-                "category": datasets.Value("string"),
-                "label": 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)
-
-        with open(filepath, encoding="utf-8") as f:
-            reader = csv.reader(f)
-
-            for id_, row in enumerate(reader):
-                if id_ == 0:
-                    continue
-
-                sent1 = row[1].replace("\t", "").replace("\n", "")
-                sent2 = row[2].replace("\t", "").replace("\n", "")
-                label = row[3].replace("\t", "").replace("\n", "")
-                cat = row[4].replace("\t", "").replace("\n", "")
-                yield id_, {
-                    'sent1': sent1,
-                    'sent2': sent2,
-                    'label': label,
-                    'category': cat,
-                }