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IndicSentenceSummarization.py

@@ -1,112 +0,0 @@
-
-
-import json
-import os
-
-import datasets
-
-_CITATION = """\
-@inproceedings{Kumar2022IndicNLGSM,
-  title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
-  author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
-  year={2022},
-  url = "https://arxiv.org/abs/2203.05437"
-}
-"""
-
-_DESCRIPTION = """\
-This is the sentence summarization dataset released as part of IndicNLG Suite. Each 
-input sentence is paired with an output summary. We create this dataset in eleven 
-languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta and te. The total
-size of the dataset is 431K.
-"""
-_HOMEPAGE = "https://indicnlp.ai4bharat.org/indicnlg-suite"
-
-_LICENSE = "Creative Commons Attribution-NonCommercial 4.0 International Public License"
-
-_URL = "https://huggingface.co/datasets/ai4bharat/IndicSentenceSummarization/resolve/main/data/{}_IndicSentenceSummarization_v{}.zip"
-
-
-_LANGUAGES = [
-    "as",
-    "bn",
-    "gu",
-    "hi",
-    "kn",
-    "ml",
-    "mr",
-    "or",
-    "pa",
-    "ta",
-    "te"
-]
-    
-
-class IndicSentenceSummarization(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-    
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="{}".format(lang),
-            version=datasets.Version("1.0.0")
-        )
-        for lang in _LANGUAGES
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id":datasets.Value("string"),
-                    "input": datasets.Value("string"),
-                    "target": datasets.Value("string"),
-                    "url":datasets.Value("string")
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-            license=_LICENSE,
-            version=self.VERSION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        lang = str(self.config.name)
-        url = _URL.format(lang, self.VERSION.version_str[:-2])
-
-        data_dir = dl_manager.download_and_extract(url)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir,"content",lang + "_train.jsonl"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir,"content",lang + "_test.jsonl"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir,"content",lang + "_dev.jsonl"),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples as (key, example) tuples."""
-        with open(filepath, encoding="utf-8") as f:
-            for idx_, row in enumerate(f):
-                data = json.loads(row)
-                yield idx_, {
-                    "id":data["id"],
-                    "input": data["Sentence"],
-                    "target": data["Summary"],
-                    "url":data["URL"]
-                   
-                }

README.md

@@ -1,210 +0,0 @@
----
-annotations_creators:
-- no-annotation
-language_creators:
-- found
-language:
-- as
-- bn
-- gu
-- hi
-- kn
-- ml
-- mr
-- or
-- pa
-- ta
-- te
-license:
-- cc-by-nc-4.0
-multilinguality:
-- multilingual
-pretty_name: IndicSentenceSummarization
-size_categories:
-- 5K<n<112K
-source_datasets:
-- original for Hindi, and modified [IndicGLUE](https://indicnlp.ai4bharat.org/indic-glue/) for other languages.
-task_categories:
-- conditional-text-generation
-task_ids:
-- conditional-text-generation-other-sentence-summarization
----
-
-# Dataset Card for "IndicSentenceSummarization"
-
-## Table of Contents
-- [Dataset Card Creation Guide](#dataset-card-creation-guide)
-  - [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:** https://indicnlp.ai4bharat.org/indicnlg-suite
-- **Paper:** [IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages](https://arxiv.org/abs/2203.05437)
-- **Point of Contact:** 
-
-### Dataset Summary
-
-IndicSentenceSummarization is the sentence summarization dataset released as part of IndicNLG Suite. Each 
-input sentence is paired with an output as summary. We create this dataset in eleven 
-languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. The total
-size of the dataset is 431K. 
-
-
-### Supported Tasks and Leaderboards
-
-**Tasks:** Sentence Summarization
-
-**Leaderboards:** Currently there is no Leaderboard for this dataset.
-
-### Languages
--  `Assamese (as)`
--  `Bengali (bn)`
--  `Gujarati (gu)`
--  `Kannada (kn)`
--  `Hindi (hi)`
--  `Malayalam (ml)`
--  `Marathi (mr)`
--  `Oriya (or)`
--  `Punjabi (pa)`
--  `Tamil (ta)`
--  `Telugu (te)`
-
-## Dataset Structure
-
-### Data Instances
-
-One random example from the `hi` dataset is given below in JSON format. 
-  ```
-  {'id': '5',
- 'input': 'जम्मू एवं कश्मीर के अनंतनाग जिले में शनिवार को सुरक्षाबलों के साथ मुठभेड़ में दो आतंकवादियों को मार गिराया गया।',
- 'target': 'जम्मू-कश्मीर : सुरक्षाबलों के साथ मुठभेड़ में 2 आतंकवादी ढेर',
- 'url': 'https://www.indiatv.in/india/national-jammu-kashmir-two-millitant-killed-in-encounter-with-security-forces-574529'
-}
-
-  ```
-
-### Data Fields
--  `id (string)`: Unique identifier.
--  `input (string)`: Input sentence.
--  `target (strings)`: Output summary.
--  `url (string)`: Source web link of the sentence. 
-
-
-### Data Splits
-
-Here is the number of samples in each split for all the languages.
-
-
-
-
-Language	|	ISO 639-1 Code	|	Train	|	Dev	|	Test	|
-----------	|	----------	|	----------	|	----------	|	----------	|
-Assamese	|	as	|	10,812	|	5,232	|	5,452	|
-Bengali	|	bn	|	17,035	|	2,355	|	2,384	|
-Gujarati	|	gu	|	54,788	|	8,720	|	8,460	|
-Hindi	|	hi	|	78,876	|	16,935	|	16,835	|
-Kannada	|	kn	|	61,220	|	9,024	|	1,485	|
-Malayalam	|	ml	|	2,855	|	1,520	|	1,580	|
-Marathi	|	mr 	|	27,066	|	3,249	|	3,309	|
-Oriya	|	or	|	12,065	|	1,539	|	1,440	|
-Punjabi	|	pa 	|	31,630	|	4,004	|	3,967	|
-Tamil	|	ta 	|	23,098	|	2,874	|	2,948	|
-Telugu	|	te 	|	7,119	|	878	|	862	|
-
-## Dataset Creation
-
-### Curation Rationale
-
-[Detailed in the paper](https://arxiv.org/abs/2203.05437)
-
-### Source Data
-
-It is a modified subset of [IndicHeadlineGeneration](https://huggingface.co/datasets/ai4bharat/IndicHeadlineGeneration) dataset.
-
-#### Initial Data Collection and Normalization
-
-[Detailed in the paper](https://arxiv.org/abs/2203.05437)
-
-
-#### Who are the source language producers?
-
-[Detailed in the paper](https://arxiv.org/abs/2203.05437)
-
-
-### Annotations
-[More information needed]
-#### 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
-
-Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
-### Citation Information
-
-If you use any of the datasets, models or code modules, please cite the following paper:
-```
-@inproceedings{Kumar2022IndicNLGSM,
-  title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
-  author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
-  year={2022},
-  url = "https://arxiv.org/abs/2203.05437",     
-```
-
-
-### Contributions
-
-[Detailed in the paper](https://arxiv.org/abs/2203.05437)

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