sentence1
sequence | sentence2
sequence | similarity_score
sequence |
|---|---|---|
["Lietadlo štartuje.","Muž hrá veľkú flautu.","Muž roznáša na pizzu strúhaný syr.","Traja (...TRUNCATED) | ["Vzduchové lietadlo štartuje.","Muž hrá flautu.","Muž rozsieva rozsekaný syr na nevarenú piz(...TRUNCATED) | [5.0,3.799999952316284,3.799999952316284,2.5999999046325684,4.25,4.25,0.5,1.600000023841858,2.200000(...TRUNCATED) |
YAML Metadata
Warning:
The task_categories "text-scoring" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other
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.
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