metadata
license: other
dataset_info:
- config_name: public
features:
- name: src_tokens
sequence: string
- name: tgt_tokens
sequence: string
- name: corrections
list:
- name: idx_src
sequence: int32
- name: idx_tgt
sequence: int32
- name: corr_type
dtype: string
splits:
- name: train
download_size: 0
dataset_size: 0
- config_name: private
features:
- name: src_tokens
sequence: string
- name: tgt_tokens
sequence: string
- name: corrections
list:
- name: idx_src
sequence: int32
- name: idx_tgt
sequence: int32
- name: corr_type
dtype: string
splits:
- name: train
download_size: 0
dataset_size: 0
Important: This is only a script for loading the data, but the data itself is private. The script will only work in case you have access to the data, which you may request for non-commercial purposes here.
data = datasets.load_dataset("matejklemen/nucle", "private", data_dir=<dir-of-private-data>, ignore_verifications=True)"
The ignore_verifications=True is important as the datasets library initially builds validation statistics that it verifies against,
and these cannot be correctly computed when the data is not public.