---
dataset_info:
  features:
  - name: article
    dtype: string
  - name: summary
    dtype: string
  - name: article_len_approx
    dtype: int64
  - name: summary_len_approx
    dtype: int64
  - name: orig_idx
    dtype: int64
  splits:
  - name: train
    num_bytes: 992678294
    num_examples: 3783821
  - name: validation
    num_bytes: 49616640
    num_examples: 188811
  - name: test
    num_bytes: 468746
    num_examples: 1822
  download_size: 567157084
  dataset_size: 1042763680
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
task_categories:
- summarization
language:
- en
pretty_name: Gigatrue
size_categories:
- 1M<n<10M
---
# Gigatrue abstractive summarisation dataset. 

- It is a cleaned version of https://huggingface.co/datasets/Harvard/gigaword.
- Added generated number values.
- Applied truecasing using https://github.com/daltonfury42/truecase.