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- ---
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- annotations_creators:
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- - other
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- language_creators:
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- - other
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- license:
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- - unknown
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- multilinguality:
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- - monolingual
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- pretty_name: modified-orangeSum
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- size_categories:
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- - 10K<n<100K
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- source_datasets:
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- - extended|other
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- tags:
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- - '''krm'''
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- task_categories:
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- - summarization
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- task_ids:
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- - news-articles-summarization
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- ---
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-
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- # Dataset Card for [Dataset Name]
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-
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- ## Table of Contents
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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](#Summarization)
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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](#text)
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- - [Annotations](#summary)
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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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-
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- ## Dataset Description
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-
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- - **Homepage: Exercises ModifiedOrangeSumm-Abstract**
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- - **Repository: krm/modified-orangeSum**
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- - **Paper:**
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- - **Leaderboard:**
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- - **Point of Contact:**
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-
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- ### Dataset Summary
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-
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- [Ceci est un petit essai et résulte de l'adjonction de quelques données personnelles à OrangeSum Abstract]
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- ### Supported Tasks and Leaderboards
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-
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- [More Information Needed]
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- ### Languages
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- [More Information Needed]
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- ## Dataset Structure
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- ### Data Instances
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- [More Information Needed]
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- ### Data Fields
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- [More Information Needed]
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- ### Data Splits
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- [More Information Needed]
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- ## Dataset Creation
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- ### Curation Rationale
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- [More Information Needed]
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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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-
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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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- [More Information Needed]
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- ### Citation Information
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- [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- {"krm--modified-orangeSum": {"description": "The OrangeSum dataset was inspired by the XSum dataset. It was created by scraping the \"Orange Actu\" website: https://actu.orange.fr/. Orange S.A. is a large French multinational telecommunications corporation, with 266M customers worldwide. Scraped pages cover almost a decade from Feb 2011 to Sep 2020. They belong to five main categories: France, world, politics, automotive, and society. The society category is itself divided into 8 subcategories: health, environment, people, culture, media, high-tech, unsual (\"insolite\" in French), and miscellaneous.\n\nEach article featured a single-sentence title as well as a very brief abstract, both professionally written by the author of the article. These two fields were extracted from each page, thus creating two summarization tasks: OrangeSum Title and OrangeSum Abstract.", "citation": "@inproceedings{kamal-eddine-etal-2021-barthez,\n title = \"{BART}hez: a Skilled Pretrained {F}rench Sequence-to-Sequence Model\",\n author = \"Kamal Eddine, Moussa and\n Tixier, Antoine and\n Vazirgiannis, Michalis\",\n booktitle = \"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing\",\n month = nov,\n year = \"2021\",\n address = \"Online and Punta Cana, Dominican Republic\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.emnlp-main.740\",\n pages = \"9369--9390\",\n}", "homepage": "https://github.com/Tixierae/OrangeSum/", "license": "", "features": {"summary": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": null, "config_name": null, "version": null, "splits": {"train": {"name": "train", "num_bytes": 63642704.20880636, "num_examples": 21753, "dataset_name": "modified-orangeSum"}}, "download_checksums": null, "download_size": 38463228, "post_processing_size": null, "dataset_size": 63642704.20880636, "size_in_bytes": 102105932.20880637}}
 
 
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