Datasets:

DTU54DL
/

demo-common-whisper

input_features sequence	labels sequence
[[-0.5899245738983154,-0.5899245738983154,-0.5899245738983154,-0.3071417808532715,-0.463354706764221(...TRUNCATED)	[50258,50259,50359,50363,3522,390,220,3322,220,3766,295,786,562,439,295,12838,17400,1830,220,3322,42(...TRUNCATED)
[[-0.9768787622451782,-0.8159406185150146,-0.7675660848617554,-0.47803759574890137,-0.45289301872253(...TRUNCATED)	[ 50258, 50259, 50359, 50363, 50, 529, 636, 291, 630, 13, 50257 ]
[[-0.7935572862625122,-0.7836481332778931,-0.6870671510696411,-0.4468303918838501,-0.425258517265319(...TRUNCATED)	[50258,50259,50359,50363,48878,220,1353,348,796,220,6780,750,390,220,15456,220,1353,536,720,3708,13,(...TRUNCATED)
[[-0.7263282537460327,-0.7263282537460327,-0.7263282537460327,-0.2682323455810547,-0.424582958221435(...TRUNCATED)	[50258,50259,50359,50363,38,304,794,78,46576,72,390,220,3322,700,587,567,13095,220,3322,5054,49527,2(...TRUNCATED)
[[-0.9302263259887695,-0.9302263259887695,-0.9302263259887695,-0.9302263259887695,-0.930226325988769(...TRUNCATED)	[ 50258, 50259, 50359, 50363, 7057, 574, 11, 257, 7137, 8120, 0, 50257 ]
[[-1.0161302089691162,-0.7880674600601196,-0.8186535835266113,-0.11557197570800781,-0.15023291110992(...TRUNCATED)	[ 50258, 50259, 50359, 50363, 9077, 307, 572, 4017, 457, 257, 9729, 2141, 486, 1269, 309, 13, 50257 ]
[[-0.9806498289108276,-0.9806498289108276,-0.89879310131073,-0.49145352840423584,-0.3847900629043579(...TRUNCATED)	[50258,50259,50359,50363,5205,390,2919,11,293,412,220,3322,912,220,3766,48589,25,1310,220,3322,2013,(...TRUNCATED)
[[-0.5562472343444824,-0.5562472343444824,-0.5562472343444824,-0.3539848327636719,-0.410257220268249(...TRUNCATED)	[50258,50259,50359,50363,2278,3237,1693,418,220,6780,11,633,220,3766,415,2198,220,3322,14183,11,415,(...TRUNCATED)
[[-0.6211458444595337,-0.6211458444595337,-0.6211458444595337,-0.3640711307525635,0.0099063515663146(...TRUNCATED)	[50258,50259,50359,50363,2278,347,8475,645,7633,2261,3344,1241,4174,11,365,787,220,3322,347,2575,409(...TRUNCATED)
[[-0.6651766300201416,-0.6651766300201416,-0.5607434511184692,0.024240553379058838,0.251509010791778(...TRUNCATED)	[ 50258, 50259, 50359, 50363, 8373, 311, 352, 389, 13085, 2108, 6190, 13, 50257 ]

End of preview. Expand in Dataset Viewer.

YAML Metadata Warning: The task_ids "token-classification-other-acronym-identification" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering