
Retrieving the 50th example from the train set:

```
> print(dataset['train']['sentence1'][0][50])
Muž hrá na gitare.

> print(dataset['train']['sentence2'][0][50])
Chlapec hrá na gitare.

> print(dataset['train']['similarity_score'][0][50])
3.200000047683716
```

For score explanation see [stsb_multi_mt](https://huggingface.co/datasets/stsb_multi_mt).

task_ids:semantic-similarity-scoring annotations_creators:other language_creators:other multilinguality:monolingual size_categories:1K<n<10K source_datasets:extended|stsb_multi_mt language:sk license:unknown region:us
{"annotations_creators": ["other"], "language_creators": ["other"], "language": ["sk"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|stsb_multi_mt"], "task_categories": ["text-scoring"], "task_ids": ["semantic-similarity-scoring"], "pretty_name": "stsb-sk", "language_bcp47": ["sk-SK"]}
TAGS
#task_ids-semantic-similarity-scoring #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-extended|stsb_multi_mt #language-Slovak #license-unknown #region-us 


Retrieving the 50th example from the train set:



For score explanation see stsb_multi_mt.

TAGS
#task_ids-semantic-similarity-scoring #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-extended|stsb_multi_mt #language-Slovak #license-unknown #region-us 

passage: TAGS
#task_ids-semantic-similarity-scoring #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-extended|stsb_multi_mt #language-Slovak #license-unknown #region-us 
