Datasets:

DTU54DL
/

common-native

audio audioduration (s) 1.2 11.6	sentence stringlengths 6 166	accent stringclasses 51 values
	Why does Melissandre look like she wants to consume Jon Snow on the ride up the wall?	United States English
	A young girl dressed all in pink is standing on a fence and looking at a horse	United States English
	In an undertone, or whisper	United States English
	A man wearing black pants and no shoes appears to float in a laundry room.	United States English
	A female athlete is in the process of completing a high jump.	United States English
	A woman is talking on the phone while standing next to a dog.	United States English
	A man is cooking outside on a grill.	United States English
	A woman and a little girl pose for a picture with a llama atop a hillside.	United States English
	Working from home has both drawbacks and advantages.	England English
	A construction worker is talking on the phone in a train tunnel.	England English
	Three women walk together down the street and past a graffiti covered building.	England English
	A group of people at a restaurant.	England English
	The smiling black man is wearing a white tshirt and dark sunglasses.	United States English
	A motorist gets some air over a rough hill.	United States English
	An older gentleman in a brown cap looking at a younger gentleman 's arm.	United States English
	A small child plays with a batman toy car	England English
	A man motions with his arms in a area with many trees.	United States English
	in a crowded asian city people can be seen walking to their various destinations.	United States English
	A woman with a handbag walks past a chinese store of some sort.	United States English
	An older woman with glasses is serving herself Raclette in a rustic looking room.	United States English
	Six women are sitting on a brick bench and wearing purple and matching red and blue hats.	United States English
	A group of racing dogs wearing striped uniforms with numbers run down a track.	United States English
	a boy swings on the swing.	United States English
	a small black and white jumping to catch something in its mouth.	United States English
	Crowd of people outside with child in center with hands raised.	United States English
	A man lounging with his feet up on the desk while looking at two separate computer screens.	United States English
	A man wearing a plaid shirt is holding a microphone while standing in a room.	United States English
	a man standing on a post with his arms outstretched and his shirt over his head.	United States English
	A black man in a tux surrounded by five other men behind a metal gate.	United States English
	African children make funny faces at the camera.	United States English
	A woman in a dimly lit room looks through her microscope and adjusts the vision	United States English
	Group of muslim Girls Standing.	United States English
	Multiple people in a swimming pool.	United States English
	Three men are sitting at a conference table laughing.	United States English
	Distinguished looking gentleman with a microphone has a red and yellow prize ribbon pinned on his lapel.	United States English
	A man surfing a large wave in the ocean.	United States English
	Find the schedule for The Voice in the Fog at night at the closest movie house.	England English
	Really, what does it say?	United States English
	A child sleeps viewed through a window of a car which is cracked slightly.	United States English
	Two people standing in a curved interior, multilevel building.	United States English
	A handicapped man dressed in blue holding the lead in a wheelchair race versus several other paraplegic athletes	United States English
	People walk down a brightly lit market in a busy city district	United States English
	The child sits in a toy car and drinks from a sippy cup	United States English
	The soccer team clad in blue for the match began to counter down the field in front of the defender clad in red	United States English
	A woman lowering ballast on a boat.	United States English
	A woman wearing a Dear Santa tshirt is looking at a Star Wars book with a young boy in a bright pink shirt	United States English
	I think most people tend to dress pretty casually.	United States English
	I want to book a restaurant in New Mexico for two people.	United States English
	A young girl in an orange shirt holds a small white flower up to her face.	United States English
	Smooth water runs deep.	United States English
	Few words and many deeds.	United States English
	A child running through a field of yellow flowers.	United States English
	What kind of herb this is?	United States English
	It is a moot point.	United States English
	Every Monday I have to catch the train into work	United States English
	The Red Queen believed six impossible things before breakfast	England English
	Captain West may be a Samurai, but he is also human.	United States English
	And so early in the voyage, too.	England English
	Horses and rifles had been her toys, camp and trail her nursery.	United States English
	Don might well have mentioned it; I forget.	United States English
	Anything unusual or abnormal was sufficient to send a fellow to Molokai.	United States English
	I'm parched. Let's have a cuppa	United States English
	He's in critical condition.	United States English
	He had no idea what inter alia meant.	United States English
	These jeans are too long, and need to be shortened.	United States English
	I was not talking drivel.	United States English
	He was completely unapologetic.	United States English
	You can see from the blood that Alice has cut herself	United States English
	I really can’t afford to spend so much	United States English
	Who normally cleans the loo in your house?	United States English
	Young girls are doing a dance.	Northumbrian British English
	A group of people rowing down a muddy river in large boats.	Northumbrian British English
	He eventually found his headphones in the larder.	United States English
	What’s your grievance?	United States English
	I've been timing my speech, and it lasts five seconds.	England English
	I arose obediently and went down the beach.	United States English
	She wears woollen clothes or natural fibres such as silk, cotton or linen.	United States English
	However, I was in no mood to dissect and criticize.	United States English
	Her concept album didn't work out that well.	United States English
	Shall I tell you something?	United States English
	He greeted the young master with his customary suavity.	England English
	So far as flags were concerned, they were beyond all jurisdiction.	United States English
	A scarlet loincloth completed his costume.	England English
	Anybody can see that he's absolutely impossible.	United States English
	That's exactly what I've been thinking myself.	United States English
	Uncle Tom did it, if you remember.	United States English
	The boat nearly held together, but then it sank.	United States English
	We always try to take our customers’ likes and dislikes into account.	United States English
	My son's a collector: he has magpie syndrome.	United States English
	Where's the art gallery?	United States English
	The rowing boat can't accommodate any more.	United States English
	By the way, where is the telegram from Marthe?	United States English
	"I really don't, sir," I returned.	United States English
	The Knight looked surprised at the question.	England English
	Ricardo sprang across the room and tore open the envelope.	United States English
	‘I never saw one, or heard of one,’ said Alice.	United States English
	So all of us can compete.	United States English
	She had given a faint indication of intending to speak.	United States English
	A thistle may be pretty but will prick you if you get too close.	England English
	‘She boxed the Queen’s ears—’ the Rabbit began.	United States English

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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