|
--- |
|
dataset_info: |
|
features: |
|
- name: output |
|
dtype: string |
|
- name: instruction |
|
dtype: string |
|
- name: input |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 2692879 |
|
num_examples: 1000 |
|
- name: validation |
|
num_bytes: 480247 |
|
num_examples: 200 |
|
- name: test |
|
num_bytes: 1003457 |
|
num_examples: 500 |
|
download_size: 2370007 |
|
dataset_size: 4176583 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: validation |
|
path: data/validation-* |
|
- split: test |
|
path: data/test-* |
|
--- |
|
### Citation Information |
|
|
|
``` |
|
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, and Jacopo Staiano. 2020. |
|
MLSUM: The multilingual summarization corpus. In Proceedings of the 2020 Conference on Empirical |
|
Methods in Natural Language Processing (EMNLP), pages 8051–8067, Online. |
|
Association for Computational Linguistics. |
|
``` |
