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README.md

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+---
+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
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+    num_examples: 5749
+  - name: test
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+    num_examples: 1379
+  - name: dev
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+    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
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+    num_examples: 5749
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+    num_examples: 1379
+  - name: dev
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+    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
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+    num_examples: 5749
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+    num_examples: 1379
+  - name: dev
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+    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
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+  - name: test
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+    num_examples: 1379
+  - name: dev
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+    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
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+    num_examples: 5749
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+    num_examples: 1379
+  - name: dev
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+    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
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+  - name: train
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+    num_examples: 5749
+  - name: test
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+    num_examples: 1379
+  - name: dev
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+    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
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+    num_examples: 5749
+  - name: test
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+    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
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+  - name: test
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+    num_examples: 1379
+  - name: dev
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+    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
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+    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.

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