|
--- |
|
language: |
|
- en |
|
- multilingual |
|
- bg |
|
- cs |
|
- da |
|
- de |
|
- el |
|
- es |
|
- et |
|
- fi |
|
- fr |
|
- hu |
|
- it |
|
- lt |
|
- lv |
|
- nl |
|
- pl |
|
- pt |
|
- ro |
|
- sk |
|
- sl |
|
- sv |
|
size_categories: |
|
- 10M<n<100M |
|
task_categories: |
|
- feature-extraction |
|
- sentence-similarity |
|
pretty_name: Europarl |
|
tags: |
|
- sentence-transformers |
|
dataset_info: |
|
- config_name: all |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 8172178281 |
|
num_examples: 25139999 |
|
download_size: 4579962976 |
|
dataset_size: 8172178281 |
|
- config_name: en-bg |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 173373239 |
|
num_examples: 394924 |
|
download_size: 84319064 |
|
dataset_size: 173373239 |
|
- config_name: en-cs |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 194944083 |
|
num_examples: 629197 |
|
download_size: 113807900 |
|
dataset_size: 194944083 |
|
- config_name: en-da |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 609755766 |
|
num_examples: 1956003 |
|
download_size: 346113839 |
|
dataset_size: 609755766 |
|
- config_name: en-de |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 638831087 |
|
num_examples: 1923172 |
|
download_size: 362287640 |
|
dataset_size: 638831087 |
|
- config_name: en-el |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 603993271 |
|
num_examples: 1266026 |
|
download_size: 302398116 |
|
dataset_size: 603993271 |
|
- config_name: en-es |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 642692903 |
|
num_examples: 1966848 |
|
download_size: 363006014 |
|
dataset_size: 642692903 |
|
- config_name: en-et |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 188487174 |
|
num_examples: 632966 |
|
download_size: 109112606 |
|
dataset_size: 188487174 |
|
- config_name: en-fi |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 609754482 |
|
num_examples: 1926110 |
|
download_size: 349606843 |
|
dataset_size: 609754482 |
|
- config_name: en-fr |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 671916700 |
|
num_examples: 2013831 |
|
download_size: 377512826 |
|
dataset_size: 671916700 |
|
- config_name: en-hu |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 198723167 |
|
num_examples: 608054 |
|
download_size: 112723155 |
|
dataset_size: 198723167 |
|
- config_name: en-it |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 646393729 |
|
num_examples: 1914005 |
|
download_size: 367393699 |
|
dataset_size: 646393729 |
|
- config_name: en-lt |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 187477265 |
|
num_examples: 618874 |
|
download_size: 107886383 |
|
dataset_size: 187477265 |
|
- config_name: en-lv |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 191818664 |
|
num_examples: 621679 |
|
download_size: 109111047 |
|
dataset_size: 191818664 |
|
- config_name: en-nl |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 646988353 |
|
num_examples: 2003507 |
|
download_size: 365547143 |
|
dataset_size: 646988353 |
|
- config_name: en-pl |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 195689057 |
|
num_examples: 614338 |
|
download_size: 113077056 |
|
dataset_size: 195689057 |
|
- config_name: en-pt |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 646359361 |
|
num_examples: 1961806 |
|
download_size: 367310146 |
|
dataset_size: 646359361 |
|
- config_name: en-ro |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 126201211 |
|
num_examples: 386686 |
|
download_size: 70298080 |
|
dataset_size: 126201211 |
|
- config_name: en-sk |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 192655739 |
|
num_examples: 620798 |
|
download_size: 112487113 |
|
dataset_size: 192655739 |
|
- config_name: en-sl |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 178016131 |
|
num_examples: 604958 |
|
download_size: 104085859 |
|
dataset_size: 178016131 |
|
- config_name: en-sv |
|
features: |
|
- name: english |
|
dtype: string |
|
- name: non_english |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 580300171 |
|
num_examples: 1853337 |
|
download_size: 328406795 |
|
dataset_size: 580300171 |
|
configs: |
|
- config_name: all |
|
data_files: |
|
- split: train |
|
path: all/train-* |
|
- config_name: en-bg |
|
data_files: |
|
- split: train |
|
path: en-bg/train-* |
|
- config_name: en-cs |
|
data_files: |
|
- split: train |
|
path: en-cs/train-* |
|
- config_name: en-da |
|
data_files: |
|
- split: train |
|
path: en-da/train-* |
|
- config_name: en-de |
|
data_files: |
|
- split: train |
|
path: en-de/train-* |
|
- config_name: en-el |
|
data_files: |
|
- split: train |
|
path: en-el/train-* |
|
- config_name: en-es |
|
data_files: |
|
- split: train |
|
path: en-es/train-* |
|
- config_name: en-et |
|
data_files: |
|
- split: train |
|
path: en-et/train-* |
|
- config_name: en-fi |
|
data_files: |
|
- split: train |
|
path: en-fi/train-* |
|
- config_name: en-fr |
|
data_files: |
|
- split: train |
|
path: en-fr/train-* |
|
- config_name: en-hu |
|
data_files: |
|
- split: train |
|
path: en-hu/train-* |
|
- config_name: en-it |
|
data_files: |
|
- split: train |
|
path: en-it/train-* |
|
- config_name: en-lt |
|
data_files: |
|
- split: train |
|
path: en-lt/train-* |
|
- config_name: en-lv |
|
data_files: |
|
- split: train |
|
path: en-lv/train-* |
|
- config_name: en-nl |
|
data_files: |
|
- split: train |
|
path: en-nl/train-* |
|
- config_name: en-pl |
|
data_files: |
|
- split: train |
|
path: en-pl/train-* |
|
- config_name: en-pt |
|
data_files: |
|
- split: train |
|
path: en-pt/train-* |
|
- config_name: en-ro |
|
data_files: |
|
- split: train |
|
path: en-ro/train-* |
|
- config_name: en-sk |
|
data_files: |
|
- split: train |
|
path: en-sk/train-* |
|
- config_name: en-sl |
|
data_files: |
|
- split: train |
|
path: en-sl/train-* |
|
- config_name: en-sv |
|
data_files: |
|
- split: train |
|
path: en-sv/train-* |
|
--- |
|
|
|
# Dataset Card for Parallel Sentences - Europarl |
|
|
|
This dataset contains parallel sentences (i.e. English sentence + the same sentences in another language) for numerous other languages. Most of the sentences originate from the [OPUS website](https://opus.nlpl.eu/). |
|
In particular, this dataset contains the [Europarl](https://opus.nlpl.eu/Europarl/corpus/version/Europarl) dataset. |
|
|
|
## Related Datasets |
|
|
|
The following datasets are also a part of the Parallel Sentences collection: |
|
* [parallel-sentences-europarl](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-europarl) |
|
* [parallel-sentences-global-voices](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-global-voices) |
|
* [parallel-sentences-muse](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-muse) |
|
* [parallel-sentences-jw300](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-jw300) |
|
* [parallel-sentences-news-commentary](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-news-commentary) |
|
* [parallel-sentences-opensubtitles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-opensubtitles) |
|
* [parallel-sentences-talks](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-talks) |
|
* [parallel-sentences-tatoeba](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-tatoeba) |
|
* [parallel-sentences-wikimatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikimatrix) |
|
* [parallel-sentences-wikititles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikititles) |
|
* [parallel-sentences-ccmatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-ccmatrix) |
|
|
|
These datasets can be used to train multilingual sentence embedding models. For more information, see [sbert.net - Multilingual Models](https://www.sbert.net/examples/training/multilingual/README.html). |
|
|
|
## Dataset Subsets |
|
|
|
### `all` subset |
|
|
|
* Columns: "english", "non_english" |
|
* Column types: `str`, `str` |
|
* Examples: |
|
```python |
|
{ |
|
"english": "Membership of Parliament: see Minutes", |
|
"non_english": "Състав на Парламента: вж. протоколи" |
|
} |
|
``` |
|
* Collection strategy: Combining all other subsets from this dataset. |
|
* Deduplified: No |
|
|
|
### `en-...` subsets |
|
|
|
* Columns: "english", "non_english" |
|
* Column types: `str`, `str` |
|
* Examples: |
|
```python |
|
{ |
|
"english": "Resumption of the session", |
|
"non_english": "Reanudación del período de sesiones" |
|
} |
|
``` |
|
* Collection strategy: Processing the raw data from [parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences) and formatting it in Parquet, followed by deduplication. |
|
* Deduplified: Yes |
