Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
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)
[ 50258, 50259, 50359, 50363, 32, 2013, 307, 11233, 766, 295, 257, 11173, 293, 11202, 322, 720, 3521, 50257 ]
[[-0.9884358644485474,-0.9884358644485474,-0.9884358644485474,-0.9884358644485474,-0.988435864448547(...TRUNCATED)
[ 50258, 50259, 50359, 50363, 32, 587, 28322, 365, 257, 2013, 13, 50257 ]
[[-0.8401229381561279,-0.8401229381561279,-0.8401229381561279,-0.8401229381561279,-0.840122938156127(...TRUNCATED)
[ 50258, 50259, 50359, 50363, 7828, 5075, 293, 257, 1440, 4494, 926, 20980, 294, 45597, 13, 50257 ]
[[-0.6876341104507446,-0.6876341104507446,-0.6876341104507446,-0.30429649353027344,-0.40903544425964(...TRUNCATED)
[ 50258, 50259, 50359, 50363, 32, 587, 365, 257, 7531, 23250, 50257 ]
[[-0.8860822916030884,-0.8860822916030884,-0.8860822916030884,-0.8860822916030884,-0.886082291603088(...TRUNCATED)
[ 50258, 50259, 50359, 50363, 2434, 1271, 1002, 1941, 5600, 1565, 16641, 295, 22742, 293, 661, 11768, 13, 50257 ]
[[-1.0728461742401123,-1.0728461742401123,-1.0728461742401123,-0.6585431098937988,-0.561316370964050(...TRUNCATED)
[ 50258, 50259, 50359, 50363, 2278, 5443, 294, 220, 3322, 7009, 307, 220, 783, 292, 365, 7671, 2182, 13, 50257 ]
[[-0.8920911550521851,-0.8920911550521851,-0.8920911550521851,-0.8920911550521851,-0.892091155052185(...TRUNCATED)
[ 50258, 50259, 50359, 50363, 36189, 3277, 368, 18181, 220, 1353, 220, 3322, 3965, 295, 1627, 16788, 50257 ]
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

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Thanks to @github-username for adding this dataset.

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