dataset_info:
- config_name: nno_eng
features:
- name: url_nno
dtype: string
- name: domain_nno
dtype: string
- name: date_nno
dtype: timestamp[s]
- name: mimetype_nno
dtype: string
- name: fulltext_nno
list: string
- name: url_eng
dtype: string
- name: domain_eng
dtype: string
- name: date_eng
dtype: timestamp[s]
- name: mimetype_eng
dtype: string
- name: fulltext_eng
list: string
splits:
- name: train
num_bytes: 642887589
num_examples: 30901
- name: validation
num_bytes: 94753134
num_examples: 3796
- name: test
num_bytes: 62963101
num_examples: 3795
download_size: 366544846
dataset_size: 800603824
- config_name: nob_eng
features:
- name: url_nob
dtype: string
- name: domain_nob
dtype: string
- name: date_nob
dtype: timestamp[s]
- name: mimetype_nob
dtype: string
- name: fulltext_nob
list: string
- name: url_eng
dtype: string
- name: domain_eng
dtype: string
- name: date_eng
dtype: timestamp[s]
- name: mimetype_eng
dtype: string
- name: fulltext_eng
list: string
splits:
- name: train
num_bytes: 2831274825
num_examples: 157044
- name: validation
num_bytes: 717719563
num_examples: 19720
- name: test
num_bytes: 1739432134
num_examples: 19720
download_size: 2242424283
dataset_size: 5288426522
- config_name: nob_nno
features:
- name: url_nno
dtype: string
- name: domain_nno
dtype: string
- name: date_nno
dtype: timestamp[s]
- name: mimetype_nno
dtype: string
- name: fulltext_nno
list: string
- name: url_nob
dtype: string
- name: domain_nob
dtype: string
- name: date_nob
dtype: timestamp[s]
- name: mimetype_nob
dtype: string
- name: fulltext_nob
list: string
splits:
- name: train
num_bytes: 246770050
num_examples: 31434
- name: validation
num_bytes: 64788506
num_examples: 3928
- name: test
num_bytes: 65141193
num_examples: 3929
download_size: 137988628
dataset_size: 376699749
configs:
- config_name: nno_eng
data_files:
- split: train
path: nno_eng/train-*
- split: validation
path: nno_eng/validation-*
- split: test
path: nno_eng/test-*
- config_name: nob_eng
data_files:
- split: train
path: nob_eng/train-*
- split: validation
path: nob_eng/validation-*
- split: test
path: nob_eng/test-*
- config_name: nob_nno
data_files:
- split: train
path: nob_nno/train-*
- split: validation
path: nob_nno/validation-*
- split: test
path: nob_nno/test-*
language:
- en
- nb
- nn
Målfrid parallel
This dataset contains parallel data for the following languages: Norwegian Bokmål, Norwegian Nynorsk, English.
Loading datasets
The dataset is organized by the three language pairs "nob_nno" (Norwegian Bokmål, Norwegian Nynorsk), "nob_eng" (Norwegian Bokmål, English) and "nno_eng" (Norwegian Nynorsk, English).
Each division has a train, val, test split, and there is no overlap of source domains between the splits.
Load the dataset you want with the name arg like this:
from datasets import load_dataset
ds = load_dataset("NbAiLab/maalfrid_parallel", name="nno_eng")
Source data
The source data is from the Målfrid project, which involves scraping .no governmental web sites to report language use.
We combined the following datasets:
- Målfrid 2021 resource catalogue
- Målfrid 2022 resource catalogue
- Målfrid 2023 resource catalogue
- Målfrid 2024 resource catalogue
- Målfrid 2025 resource catalogue
Alignment method
The document pairs were aligned per website with NbAiLab/nb-sbert-v2-base and the sentence-transformers library.
For English-Norwegian parallel data, the minimun cosine similarity threshold is 0.80, and for Norwegian parallel data it is 0.95. See source code
Licence
Norwegian Licence for Open Government Data (NLOD) https://data.norge.no/nlod/en/2.0