README.md

metadata

license: apache-2.0
dataset_info:
  features:
    - name: id
      dtype: int64
    - name: source
      dtype: string
    - name: source_id
      dtype: string
    - name: document
      dtype: string
    - name: summary
      dtype: string
    - name: annotator
      dtype: int64
    - name: A
      dtype: int64
    - name: B
      dtype: int64
    - name: C
      dtype: int64
    - name: D
      dtype: int64
    - name: E
      dtype: int64
    - name: F
      dtype: int64
    - name: G
      dtype: int64
    - name: H
      dtype: int64
    - name: I
      dtype: int64
    - name: J
      dtype: int64
  splits:
    - name: train
      num_bytes: 1333902
      num_examples: 600
  download_size: 289350
  dataset_size: 1333902
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - summarization
language:
  - en
tags:
  - characterization
  - abstractivity
  - mesurement
pretty_name: CLASum
size_categories:
  - n<1K

Dataset Card for CLASum Dataset

Table of Contents

• Dataset Description
  • Dataset Summary
• Dataset Structure
  • Data Fields
• Additional Information
  • Licensing Information
  • Citation Information

Dataset Description

• Point of Contact: Vicent Ahuir

Dataset Summary

The CLASum is built for abstractivity characterization and measurement in the summarization task. It contains 200 document-summary pairs extracted from CNN/DailyMail and XSUM datasets. Each summary has been annotated for 11 summary-related questions by 3 different annotators.

Data Fields

• id: Sample identifier
• source: Dataset of the document-summary pair
• source_id: Identifier of the pair in the original dataset
• document: The document to summarize
• summary: A summary for the document
• annotator: Identifier of the annotator
• A: Answer for a question related to relevance of the information in the summary
• B: Answer for a question related to amount of novel information within the summary
• C: Answer for a question related to the level of abstractivity
• D: Answer for a question related to the content exclusion action
• E: Answer for a question related to the information melting action
• F: Answer for a question related to the syntaxis alteration action
• G: Answer for a question related to the synonym action
• H: Answer for a question related to the generalization action
• I: Answer for a question related to the specification action
• J: Answer for a question related to the ccontent reordering action

Additional Information

Licensing Information

The CLASum dataset is released under the Apache-2.0 License.

Citation Information

@Unpublished{Ahuir2025,
  author = {Vicent Ahuir and Lluís-F. Hurtado},
  date   = {2025-10},
  title  = {Beyond ``Using Their Own Words'': Abstractivity Characterization in Summarization},
}