Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
parquet
Sub-tasks:
news-articles-summarization
Size:
10K - 100K
Tags:
'krm'
License:
parquet-converter
commited on
Commit
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README.md
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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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# Dataset Card for [Dataset Name]
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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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## Dataset Description
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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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### Dataset Summary
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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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[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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[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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dataset_infos.json
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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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data/train-00000-of-00001-f75513f3be8c97f0.parquet → krm--modified-orangeSum/parquet-train.parquet
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