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---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: en
dtype: string
- name: 'no'
dtype: string
splits:
- name: train
num_bytes: 16980310.587072924
num_examples: 253356
- name: test
num_bytes: 2183226.832496173
num_examples: 32575
- name: validation
num_bytes: 5094106.580430903
num_examples: 76007
download_size: 17542044
dataset_size: 24257644
task_categories:
- translation
- summarization
- conversational
language:
- en
- 'no'
pretty_name: Open Subtitles (EN-NO), similar and shorter texts
size_categories:
- 100M<n<1B
---
# Open subtitles (EN-NO): similar and shorter parallels
361938 samples of subtitles/sentences where the Norwegian parallel is a maximum of 60% of the size of the English text.
Additionally, the sentences are filtered on similarity scores with a [Norwegian SBERT model](https://huggingface.co/NbAiLab/nb-sbert-base), with a minimum of 0.7 similarity (score based on observations from 10k samples).
The purpose of this dataset is to identify how generative models perform joint operations on translation and reduction of sentences.
## Splits:
| split | rows |
|:----------|------:|
| train | 253356 |
| test | 32575 |
| validation| 76007 |