rolargesum / README.md
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metadata
license: cc-by-nc-sa-4.0
dataset_info:
  features:
    - name: text
      dtype: string
    - name: summary
      dtype: string
    - name: title
      dtype: string
    - name: keywords
      dtype: string
    - name: dialect
      dtype:
        class_label:
          names:
            '0': romanian
            '1': moldavian
    - name: topics
      dtype: string
    - name: url
      dtype: string
    - name: author
      dtype: string
  splits:
    - name: train
      num_bytes: 1528144467
      num_examples: 605679
    - name: validation
      num_bytes: 13242719
      num_examples: 5000
    - name: test
      num_bytes: 13265297
      num_examples: 5000
  download_size: 954622797
  dataset_size: 1554652483
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
task_categories:
  - summarization
  - text2text-generation
tags:
  - summarization
  - romanian
  - moldavian
language:
  - ro
pretty_name: RoLargeSum
size_categories:
  - 100K<n<1M

RoLargeSum

This repository hosts RoLargeSum, a comprehensive dataset comprising 615,679 articles along with their corresponding summaries, titles, keywords, topics, and dialect classifications (either romanian or moldavian).

You can read more about the dataset in the following paper: https://arxiv.org/abs/2412.11317

Note: The dataset is available for research purposes upon request by emailing us at: dumitru.cercel@upb.ro. (p.s. don't forget to let us know what your HuggingFace username is, so we can grant you access)

Loading

To load the dataset, simply run:

from datasets import load_dataset

dataset = load_dataset("avramandrei/rolargesum")

Each sample respects the following format:

{
  "text": "This is the main text of the article",
  "summary": "This is the summary",
  "title": "Title of article",
  "keywords": "keyword1,keyword2,keyword3",
  "dialect": "romanian",
  "topics": "politica",
  "url": "www.example.com",
  "author": "John Doe"
}

Citation

@article{avram2024rolargesum,
  title={RoLargeSum: A Large Dialect-Aware Romanian News Dataset for Summary, Headline, and Keyword Generation},
  author={Avram, Andrei-Marius and Timpuriu, Mircea and Iuga, Andreea and Matei, Vlad-Cristian and T{\u{a}}iatu, Iulian-Marius and G{\u{a}}in{\u{a}}, Tudor and Cercel, Dumitru-Clementin and Pop, Florin and Cercel, Mihaela-Claudia},
  journal={arXiv preprint arXiv:2412.11317},
  year={2024}
}