Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Size:
10K - 100K
ArXiv:
Tags:
sentence-transformers
License:
File size: 6,054 Bytes
a7b4daa bc930e6 a7b4daa bc930e6 a7b4daa a143984 a7b4daa a143984 a7b4daa c182ae8 dd87767 a7b4daa c182ae8 a7b4daa |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 |
---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
- found
- machine-generated
language:
- en
- de
- 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
paperswithcode_id: null
pretty_name: STSb Multi MT
---
# 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.
|