|
--- |
|
annotations_creators: |
|
- crowdsourced |
|
language_creators: |
|
- crowdsourced |
|
- found |
|
- machine-generated |
|
language: |
|
- de |
|
- en |
|
- es |
|
- fr |
|
- it |
|
- nl |
|
- pl |
|
- pt |
|
- ru |
|
- zh |
|
license: |
|
- other |
|
multilinguality: |
|
- multilingual |
|
size_categories: |
|
- 10K<n<100K |
|
source_datasets: |
|
- extended|other-sts-b |
|
task_categories: |
|
- text-classification |
|
task_ids: |
|
- text-scoring |
|
- semantic-similarity-scoring |
|
pretty_name: STSb Multi MT |
|
dataset_info: |
|
- config_name: de |
|
features: |
|
- name: sentence1 |
|
dtype: string |
|
- name: sentence2 |
|
dtype: string |
|
- name: similarity_score |
|
dtype: float32 |
|
splits: |
|
- name: train |
|
num_bytes: 867465 |
|
num_examples: 5749 |
|
- name: test |
|
num_bytes: 193325 |
|
num_examples: 1379 |
|
- name: dev |
|
num_bytes: 247069 |
|
num_examples: 1500 |
|
download_size: 823156 |
|
dataset_size: 1307859 |
|
- config_name: en |
|
features: |
|
- name: sentence1 |
|
dtype: string |
|
- name: sentence2 |
|
dtype: string |
|
- name: similarity_score |
|
dtype: float32 |
|
splits: |
|
- name: train |
|
num_bytes: 731795 |
|
num_examples: 5749 |
|
- name: test |
|
num_bytes: 164458 |
|
num_examples: 1379 |
|
- name: dev |
|
num_bytes: 210064 |
|
num_examples: 1500 |
|
download_size: 720594 |
|
dataset_size: 1106317 |
|
- config_name: es |
|
features: |
|
- name: sentence1 |
|
dtype: string |
|
- name: sentence2 |
|
dtype: string |
|
- name: similarity_score |
|
dtype: float32 |
|
splits: |
|
- name: train |
|
num_bytes: 887093 |
|
num_examples: 5749 |
|
- name: test |
|
num_bytes: 194608 |
|
num_examples: 1379 |
|
- name: dev |
|
num_bytes: 245242 |
|
num_examples: 1500 |
|
download_size: 803220 |
|
dataset_size: 1326943 |
|
- config_name: fr |
|
features: |
|
- name: sentence1 |
|
dtype: string |
|
- name: sentence2 |
|
dtype: string |
|
- name: similarity_score |
|
dtype: float32 |
|
splits: |
|
- name: train |
|
num_bytes: 910187 |
|
num_examples: 5749 |
|
- name: test |
|
num_bytes: 200438 |
|
num_examples: 1379 |
|
- name: dev |
|
num_bytes: 254075 |
|
num_examples: 1500 |
|
download_size: 828209 |
|
dataset_size: 1364700 |
|
- config_name: it |
|
features: |
|
- name: sentence1 |
|
dtype: string |
|
- name: sentence2 |
|
dtype: string |
|
- name: similarity_score |
|
dtype: float32 |
|
splits: |
|
- name: train |
|
num_bytes: 871518 |
|
num_examples: 5749 |
|
- name: test |
|
num_bytes: 191639 |
|
num_examples: 1379 |
|
- name: dev |
|
num_bytes: 243136 |
|
num_examples: 1500 |
|
download_size: 813106 |
|
dataset_size: 1306293 |
|
- config_name: nl |
|
features: |
|
- name: sentence1 |
|
dtype: string |
|
- name: sentence2 |
|
dtype: string |
|
- name: similarity_score |
|
dtype: float32 |
|
splits: |
|
- name: train |
|
num_bytes: 833659 |
|
num_examples: 5749 |
|
- name: test |
|
num_bytes: 182896 |
|
num_examples: 1379 |
|
- name: dev |
|
num_bytes: 234879 |
|
num_examples: 1500 |
|
download_size: 786341 |
|
dataset_size: 1251434 |
|
- config_name: pl |
|
features: |
|
- name: sentence1 |
|
dtype: string |
|
- name: sentence2 |
|
dtype: string |
|
- name: similarity_score |
|
dtype: float32 |
|
splits: |
|
- name: train |
|
num_bytes: 828425 |
|
num_examples: 5749 |
|
- name: test |
|
num_bytes: 181258 |
|
num_examples: 1379 |
|
- name: dev |
|
num_bytes: 231750 |
|
num_examples: 1500 |
|
download_size: 832282 |
|
dataset_size: 1241433 |
|
- config_name: pt |
|
features: |
|
- name: sentence1 |
|
dtype: string |
|
- name: sentence2 |
|
dtype: string |
|
- name: similarity_score |
|
dtype: float32 |
|
splits: |
|
- name: train |
|
num_bytes: 854348 |
|
num_examples: 5749 |
|
- name: test |
|
num_bytes: 189155 |
|
num_examples: 1379 |
|
- name: dev |
|
num_bytes: 240551 |
|
num_examples: 1500 |
|
download_size: 799737 |
|
dataset_size: 1284054 |
|
- config_name: ru |
|
features: |
|
- name: sentence1 |
|
dtype: string |
|
- name: sentence2 |
|
dtype: string |
|
- name: similarity_score |
|
dtype: float32 |
|
splits: |
|
- name: train |
|
num_bytes: 1391666 |
|
num_examples: 5749 |
|
- name: test |
|
num_bytes: 299999 |
|
num_examples: 1379 |
|
- name: dev |
|
num_bytes: 386260 |
|
num_examples: 1500 |
|
download_size: 1088400 |
|
dataset_size: 2077925 |
|
- config_name: zh |
|
features: |
|
- name: sentence1 |
|
dtype: string |
|
- name: sentence2 |
|
dtype: string |
|
- name: similarity_score |
|
dtype: float32 |
|
splits: |
|
- name: train |
|
num_bytes: 694416 |
|
num_examples: 5749 |
|
- name: test |
|
num_bytes: 154826 |
|
num_examples: 1379 |
|
- name: dev |
|
num_bytes: 195813 |
|
num_examples: 1500 |
|
download_size: 715580 |
|
dataset_size: 1045055 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- path: test/*.parquet |
|
split: test |
|
- path: train/*.parquet |
|
split: train |
|
- path: dev/*.parquet |
|
split: dev |
|
- config_name: de |
|
data_files: |
|
- path: stsb_multi_mt/test/de.parquet |
|
split: test |
|
- path: stsb_multi_mt/train/de.parquet |
|
split: train |
|
- path: stsb_multi_mt/dev/de.parquet |
|
split: dev |
|
- config_name: fr |
|
data_files: |
|
- path: stsb_multi_mt/test/fr.parquet |
|
split: test |
|
- path: stsb_multi_mt/train/fr.parquet |
|
split: train |
|
- path: stsb_multi_mt/dev/fr.parquet |
|
split: dev |
|
- config_name: ru |
|
data_files: |
|
- path: stsb_multi_mt/test/ru.parquet |
|
split: test |
|
- path: stsb_multi_mt/train/ru.parquet |
|
split: train |
|
- path: stsb_multi_mt/dev/ru.parquet |
|
split: dev |
|
- config_name: zh |
|
data_files: |
|
- path: stsb_multi_mt/test/zh.parquet |
|
split: test |
|
- path: stsb_multi_mt/train/zh.parquet |
|
split: train |
|
- path: stsb_multi_mt/dev/zh.parquet |
|
split: dev |
|
- config_name: es |
|
data_files: |
|
- path: stsb_multi_mt/test/es.parquet |
|
split: test |
|
- path: stsb_multi_mt/train/es.parquet |
|
split: train |
|
- path: stsb_multi_mt/dev/es.parquet |
|
split: dev |
|
- config_name: it |
|
data_files: |
|
- path: stsb_multi_mt/test/it.parquet |
|
split: test |
|
- path: stsb_multi_mt/train/it.parquet |
|
split: train |
|
- path: stsb_multi_mt/dev/it.parquet |
|
split: dev |
|
- config_name: en |
|
data_files: |
|
- path: stsb_multi_mt/test/en.parquet |
|
split: test |
|
- path: stsb_multi_mt/train/en.parquet |
|
split: train |
|
- path: stsb_multi_mt/dev/en.parquet |
|
split: dev |
|
- config_name: pt |
|
data_files: |
|
- path: stsb_multi_mt/test/pt.parquet |
|
split: test |
|
- path: stsb_multi_mt/train/pt.parquet |
|
split: train |
|
- path: stsb_multi_mt/dev/pt.parquet |
|
split: dev |
|
- config_name: nl |
|
data_files: |
|
- path: stsb_multi_mt/test/nl.parquet |
|
split: test |
|
- path: stsb_multi_mt/train/nl.parquet |
|
split: train |
|
- path: stsb_multi_mt/dev/nl.parquet |
|
split: dev |
|
- config_name: pl |
|
data_files: |
|
- path: stsb_multi_mt/test/pl.parquet |
|
split: test |
|
- path: stsb_multi_mt/train/pl.parquet |
|
split: train |
|
- path: stsb_multi_mt/dev/pl.parquet |
|
split: dev |
|
--- |
|
|
|
# Dataset Card for STSb Multi MT |
|
|
|
## Table of Contents |
|
- [Dataset Description](#dataset-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
|
- [Languages](#languages) |
|
- [Dataset Structure](#dataset-structure) |
|
- [Data Instances](#data-instances) |
|
- [Data Fields](#data-fields) |
|
- [Data Splits](#data-splits) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Curation Rationale](#curation-rationale) |
|
- [Source Data](#source-data) |
|
- [Annotations](#annotations) |
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
- [Social Impact of Dataset](#social-impact-of-dataset) |
|
- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Repository**: https://github.com/PhilipMay/stsb-multi-mt |
|
- **Homepage (original dataset):** https://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark |
|
- **Paper about original dataset:** https://arxiv.org/abs/1708.00055 |
|
- **Leaderboard:** https://ixa2.si.ehu.eus/stswiki/index.php/STSbenchmark#Results |
|
- **Point of Contact:** [Open an issue on GitHub](https://github.com/PhilipMay/stsb-multi-mt/issues/new) |
|
|
|
### Dataset Summary |
|
|
|
> STS Benchmark comprises a selection of the English datasets used in the STS tasks organized |
|
> in the context of SemEval between 2012 and 2017. The selection of datasets include text from |
|
> image captions, news headlines and user forums. ([source](https://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark)) |
|
|
|
These are different multilingual translations and the English original of the [STSbenchmark dataset](https://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark). Translation has been done with [deepl.com](https://www.deepl.com/). It can be used to train [sentence embeddings](https://github.com/UKPLab/sentence-transformers) like [T-Systems-onsite/cross-en-de-roberta-sentence-transformer](https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer). |
|
|
|
|
|
**Examples of Use** |
|
|
|
Load German dev Dataset: |
|
```python |
|
from datasets import load_dataset |
|
dataset = load_dataset("stsb_multi_mt", name="de", split="dev") |
|
``` |
|
|
|
Load English train Dataset: |
|
```python |
|
from datasets import load_dataset |
|
dataset = load_dataset("stsb_multi_mt", name="en", split="train") |
|
``` |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
[More Information Needed] |
|
|
|
### Languages |
|
|
|
Available languages are: de, en, es, fr, it, nl, pl, pt, ru, zh |
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
|
|
This dataset provides pairs of sentences and a score of their similarity. |
|
|
|
score | 2 example sentences | explanation |
|
------|---------|------------ |
|
5 | *The bird is bathing in the sink.<br/>Birdie is washing itself in the water basin.* | The two sentences are completely equivalent, as they mean the same thing. |
|
4 | *Two boys on a couch are playing video games.<br/>Two boys are playing a video game.* | The two sentences are mostly equivalent, but some unimportant details differ. |
|
3 | *John said he is considered a witness but not a suspect.<br/>“He is not a suspect anymore.” John said.* | The two sentences are roughly equivalent, but some important information differs/missing. |
|
2 | *They flew out of the nest in groups.<br/>They flew into the nest together.* | The two sentences are not equivalent, but share some details. |
|
1 | *The woman is playing the violin.<br/>The young lady enjoys listening to the guitar.* | The two sentences are not equivalent, but are on the same topic. |
|
0 | *The black dog is running through the snow.<br/>A race car driver is driving his car through the mud.* | The two sentences are completely dissimilar. |
|
|
|
An example: |
|
``` |
|
{ |
|
"sentence1": "A man is playing a large flute.", |
|
"sentence2": "A man is playing a flute.", |
|
"similarity_score": 3.8 |
|
} |
|
``` |
|
|
|
### Data Fields |
|
|
|
- `sentence1`: The 1st sentence as a `str`. |
|
- `sentence2`: The 2nd sentence as a `str`. |
|
- `similarity_score`: The similarity score as a `float` which is `<= 5.0` and `>= 0.0`. |
|
|
|
### Data Splits |
|
|
|
- train with 5749 samples |
|
- dev with 1500 samples |
|
- test with 1379 sampples |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
[More Information Needed] |
|
|
|
### Source Data |
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
[More Information Needed] |
|
|
|
#### Who are the source language producers? |
|
|
|
[More Information Needed] |
|
|
|
### Annotations |
|
|
|
#### Annotation process |
|
|
|
[More Information Needed] |
|
|
|
#### Who are the annotators? |
|
|
|
[More Information Needed] |
|
|
|
### Personal and Sensitive Information |
|
|
|
[More Information Needed] |
|
|
|
## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
|
|
|
[More Information Needed] |
|
|
|
### Discussion of Biases |
|
|
|
[More Information Needed] |
|
|
|
### Other Known Limitations |
|
|
|
[More Information Needed] |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
[More Information Needed] |
|
|
|
### Licensing Information |
|
|
|
See [LICENSE](https://github.com/PhilipMay/stsb-multi-mt/blob/main/LICENSE) and [download at original dataset](https://ixa2.si.ehu.eus/stswiki/index.php/STSbenchmark). |
|
|
|
### Citation Information |
|
|
|
``` |
|
@InProceedings{huggingface:dataset:stsb_multi_mt, |
|
title = {Machine translated multilingual STS benchmark dataset.}, |
|
author={Philip May}, |
|
year={2021}, |
|
url={https://github.com/PhilipMay/stsb-multi-mt} |
|
} |
|
``` |
|
|
|
### Contributions |
|
|
|
Thanks to [@PhilipMay](https://github.com/PhilipMay) for adding this dataset. |
|
|
