Datasets:
audio
audioduration (s) 1
106
| sentence
stringlengths 2
192
| accent
stringclasses 73
values |
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It was the time of day when all of Spain slept during the summer. | ||
Same way you did. | ||
Sarah told him that she was there to see her brother. | ||
Galileo Galilei was the first man who observed the planet Neptune through his telescope. | ||
Hey look, a flying pig! | ||
There is no lock but a golden key will open it. | ||
He was excited, and at the same time uneasy: maybe the girl had already forgotten him. | ||
The boy swore that, every time he heard the alarm, he would heed its message. | West Indies and Bermuda (Bahamas, Bermuda, Jamaica, Trinidad) |
|
Their faces were hidden behind blue veils, with only their eyes showing. | West Indies and Bermuda (Bahamas, Bermuda, Jamaica, Trinidad) |
|
Let's go Hiking across France. | ||
By hook or by crook. | United States English |
|
A glassblower is crafting a beautiful piece of art in his fire. | ||
A man looks on while a child plays a game. | ||
I am glad we have decided this then. | ||
doctor helping elderly patient taking blood pressure | ||
But they were not there. | ||
The leopard does not change his spots. | ||
But maybe people who felt that way had never learned the universal language. | ||
It's called the principle of favorability. | ||
He grew strawberries, so you would not like it. | ||
Nothing personal in it. | ||
Every image processing software contains automatic contrast and color enhancement. | ||
That first day, everyone slept from exhaustion, including the Englishman. | ||
It's no use closing the stable door, after the horse has bolted. | ||
Sure, see you there! | ||
They all gathered in Manchester. | ||
The fire alarm went off again, but when I looked outside, there was no one there. | ||
I wasn't born yesterday. | ||
I've really started to appreciate Imperial measurements, you could say I'm a convert. | ||
The rocking motion was nauseating. | ||
A whiskey is the perfect end to my day. | ||
The omens had told him so. | ||
Wait for the end of the war. | ||
I don't want to change anything, because I don't know how to deal with change. | ||
I thought that someday I'd be rich, and could go to Mecca. | ||
But he decided to take a chance. | ||
I would appreciate if you could create a concise table. | ||
The oxygen's only to help him till the doctor gets here. | ||
Three guys relaxing on basketball court. | ||
A guy on a log. | ||
I'm going to tell your mother on you. | ||
Cheryl asked me about visiting the poetry slam with her tomorrow. | ||
The beam dropped down on the workman's head. | ||
Its lower end was still embedded. | ||
So now I'm a camel driver. | ||
You'll be the counselor of the oasis. | ||
A couple look at some artwork | ||
Philip was standing on the levee watching the waves roll off the rocks and the splashes of spume. | ||
A shirtless man wearing bracelets and a garland carrying a pole | ||
He and his family went up north to the Arctic Circle to meet Santa Claus in Finland. | ||
From atop its walls, one can catch a glimpse of Africa. | ||
Then he realized that he had been distracted for a few moments, looking at the sword. | ||
Spotted dick is a classic British pudding. | ||
I say we don't go out any more. | ||
The Arabs laughed at him, and the alchemist laughed along. | ||
what is the weather in Cotton Valley | ||
add an album in Guitar Hero Live Playlist | ||
But he decided first to buy his bakery and put some money aside. | ||
The nearby city of Ceuta had grown faster than Tangier, and business had fallen off. | ||
"What's the world's greatest lie?" the boy asked, completely surprised. | ||
It sounded like a Gypsy prayer. | ||
A registration process is required. | ||
As they stood on the escalator, they wondered how high they were. | ||
At the same time, people were passing my shop all the time, heading for Mecca. | ||
It's the other foreigner, the Englishman. | ||
"When were these books written?" the boy asked. | ||
He had used the two stones only once, one morning when he was at a marketplace. | ||
I learned that at my grandma's knee. | ||
She gave me back the charger. | ||
Man paddles red kayak, orange kayak in background. | ||
A man and a girl stand in front of a large crowd. | ||
The Linux terminal refuses to make me a cup of coffee. | ||
See you later! | United States English |
|
Calibration complete. | United States English |
|
It's true that everything has its destiny, but one day that destiny will be realized. | ||
The other son was a poet, and delighted all of Rome with his beautiful verses. | ||
How about some wine? | ||
The Englishman was disappointed. | ||
Having heard that, the boy became even more interested in alchemy. | ||
The boy didn't know what to say. | ||
Isn't it a little crowded? | ||
He loves reading magazines and fan letters on the balcony. | ||
I've got a mother and two kid sisters to care for. | ||
I use it to track my personal to do list, which is full of everything from boring chores to exciting new things I want to try. | ||
Christmas Eve at midnight? | ||
That is not his mailbox. | ||
Christopher was confused. | ||
They met with a bunch of people in the pub. | ||
"Give me my book," the boy said. | ||
"From here on, you will be alone," the alchemist said. | ||
He got up, adjusted his clothing, and picked up his pouch. | ||
If you lose your temper, don't look for it. | ||
You have enough gold to buy many sheep and many camels. | ||
A deputy representative | United States English |
|
Did you see any ghosts? | United States English |
|
The camel driver was seated at the base of a palm tree, observing the sunset. | ||
"Continue in the direction of the Pyramids," said the alchemist. | ||
In his hand, he grasped a snake by the tail. | ||
And he knew that Egypt was in Africa. | ||
"Can't you just observe men and omens in order to understand the language?" the boy asked. |
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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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