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input_features
sequence | labels
sequence |
---|---|
[[-0.9590109586715698,-0.9590109586715698,-0.9590109586715698,-0.9590109586715698,-0.959010958671569(...TRUNCATED) | [50258,50259,50359,50363,8429,775,7375,891,474,265,574,411,750,2738,220,1353,14732,7745,14827,322,22(...TRUNCATED) |
[[-0.8645648956298828,-0.8645648956298828,-0.8645648956298828,-0.8645648956298828,-0.864564895629882(...TRUNCATED) | [50258,50259,50359,50363,33594,220,975,4070,11,472,4769,3092,11,472,4769,2182,11,2433,257,1216,295,1(...TRUNCATED) |
[[-0.6752490997314453,-0.6752490997314453,-0.6752490997314453,-0.6752490997314453,-0.675249099731445(...TRUNCATED) | [50258,50259,50359,50363,28353,18716,294,220,3322,31908,257,954,365,257,49138,294,38275,4494,1411,29(...TRUNCATED) |
[[-1.5,-1.5,-1.1228840351104736,-0.54582679271698,-0.8800970315933228,-0.6601248979568481,-0.8145276(...TRUNCATED) | [
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] |
[[-0.9884358644485474,-0.9884358644485474,-0.9884358644485474,-0.9884358644485474,-0.988435864448547(...TRUNCATED) | [
50258,
50259,
50359,
50363,
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257,
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] |
[[-0.8401229381561279,-0.8401229381561279,-0.8401229381561279,-0.8401229381561279,-0.840122938156127(...TRUNCATED) | [
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[[-0.6876341104507446,-0.6876341104507446,-0.6876341104507446,-0.30429649353027344,-0.40903544425964(...TRUNCATED) | [
50258,
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32,
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50257
] |
[[-0.8860822916030884,-0.8860822916030884,-0.8860822916030884,-0.8860822916030884,-0.886082291603088(...TRUNCATED) | [
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[[-1.0728461742401123,-1.0728461742401123,-1.0728461742401123,-0.6585431098937988,-0.561316370964050(...TRUNCATED) | [
50258,
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50257
] |
[[-0.8920911550521851,-0.8920911550521851,-0.8920911550521851,-0.8920911550521851,-0.892091155052185(...TRUNCATED) | [
50258,
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] |
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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
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