|
--- |
|
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. |
