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http://www.archive.org/download/birdsvol5feb1899_1510_librivox/birdsandallnaturefeb1899_14_various_64kb.mp3
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but the owl is not a burglar he is the friend of man there is no other bird that does the farmer so much good as the owl the owl comes out in the dark to get the small animals that are out at that time stealing things from the farmer
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number nine was taken greedily but the owl could not swallow it the tail hung out of the owl's mouth for a while before it could be fairly counted then no more were eaten till about three hours after when the owl was pleased to take four more mice
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sometimes so many mice have come upon the farms in england that it looks as if everything would be eaten up by them but a great many owls always came when the mice were so thick and helped the farmers save their crops one owl was seen to make in thirty minutes seventeen trips to her young with food
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one barn owl had thirty-nine locusts twenty-two other insects and one mouse which it had just taken screech owls and burrowing owls usually have more than two dozen locusts and some of them had other kinds of insects
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this is one reason why the farmer likes the owl so well barn owls sometimes roost with pigeons but they are good friends we know they do not eat the pigeons because the owls swallow their food whole and have to throw up the bones afterwards and it is known that the owls living with pigeons throw up bones of rats and mice but not of pigeons
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a gentleman living in the west when there was so much damage done by grasshoppers found that the owls were living on them and not eating much of any other kind of food the only way he could tell what the owls had for supper was to shoot an owl once in awhile and see what was in its stomach
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the gopher is a small animal that does damage to growing things it digs up corn after it is planted and gnaws the roots of fruit trees so as to hurt them badly owls catch gophers and eat them
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a rabbit a weasel a mink or even a skunk is good eating for the owl there are times when one owl will make a meal of another owl of smaller size a large red-tailed hawk was once put into a garret where there was a snowy owl that night the hawk was killed partly eaten by the owl
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a tame great horned owl and a little screech owl were shut up in a hay loft together the wings of the big owl were cut so he could not fly after about a week they both became one owl and that owl threw up the claws beaks bones and feathers that had once been useful to the little screech owl
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owls sometimes catch partridges and quails this is not so bad for they pick out the weak birds that are not well and so keep disease from spreading amongst the fine birds a hunter once shot a bob white so that it was not killed but could not fly he and his dog were chasing the bird in the grass along a fence hoping to catch it
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an owl saw the wounded bird and thought it belonged to him because it was not well he came out of the woods very swiftly and picked up the bob white right before the eyes of the hunter in woods where there are panthers one will often hear in the night fearful cries that make it seem as if some wild beast were about to jump down from some tree nearby to kill the one who is out so late
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so we may call the owl the night watchman of the farm he sometimes comes out in the daytime but most owls prefer the night or at least a dark day the owl has been called a wise bird for the same reason that some men are thought to be wise he looks wise
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most of these cries which frighten people are made by hoot owls but it is not easy to tell whether the sound comes from a hoot owl or from the throat of a wild cat there is a saying amongst country people who wish to seem wise i wasn't brought up in the woods to be afraid of owls
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the hoot owl has so many wild notes in his voice that is not at all strange that he scares people who have not been brought up in the woods before he sends out his proper hoot he sometimes seems to try to frighten everybody out of the forest with his awful shrieks
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the owl is brave one that weighed less than six ounces once fought a nine-pound rooster a teamster in maine once went to sleep on top of his load while his horses ate their oats beside a forest road
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eh ha ha ha and then they become as solemn as any other owls and the stillness of the night is perfect until another owl has a droll story or song to set the rest a-shouting at
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but he makes up for his awkwardness when there are eggs to sit upon for the owl is the best husband a bird ever had when there is room in the old hollow where the nest is he will sit upon the eggs with his wife and help her hatch the puffy little owl children
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if the owl is a sober and wise bird he forgets all about it when he woos his mate such awkward dancing and foolish boo hooing is never seen except when the owl is trying to choose a mate for life
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when he pulled the blanket away from his face an owl pounced down upon it perhaps thinking his white skin was a rabbit and tore his cheeks fiercely he was much frightened having just awakened but he caught the owl and killed it after a short struggle and called himself lucky because his eyes were not put out by the bird
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they lay their eggs earlier than other birds and often the falling snow covers the back of the sitting bird the warmth of her body melts it so that water runs gently down through the nest and forms icicles that hang below and glisten in the sunshine to tell of the faithful conduct of the mother owl
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owls are the best of parents too for they will risk their own lives freely to protect their young if their nests are robbed and the old birds can find where their young ones are caged they will come daily with food for them even though they are in great danger in doing so
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one reason he looks so steadily at you that you think he is studying you is because the light is so strong in the daytime that his sight is bad but the owl is not as wise as he is said to be he does some foolish things as well as other birds in fact he is sometimes more foolish than any other bird would be in the same place
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but the small birds find their desire to torment ends in their own capture for they cannot get away from the bird lime until the trapper comes along and gathers all the little birds that are hanging to the sticky limbs and twigs about the big bird they were trying to tease
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small birds as a rule hate owls and they delight in getting round these great awkward fellows whenever they can catch them by day and doing all they can to hurt their feelings bird-catchers sometimes catch small birds because they are so fond of teasing owls
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an owl is caught and tied to a tree the tree is covered with sticky stuff called bird lime as soon as a little bird sees the owl in the tree he cries to his friends and they come in great crowds to tease the owl
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all owls are not too stupid to learn puffy a tame young owl caught and ate a two-pound pullet an old hen afterwards took a fancy to his perch
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she went in and gave the little owl a sound whipping and after that shared the perch with him he never forgot the lesson the hen had given him and always treated her well owls have a way of hiding from notice by making believe that they are something besides owls they can move their feathers so as to change their looks entirely
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the great horned owl sometimes makes himself a frightful mass of feathers a yard wide and at other times he seems to be a very slim bird too thin for an owl puffy once got away from his master he flew to the top of a stump and sat like a stake for an hour
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owls are fond of mice a boy who'd a half-grown barn owl tried one day to see how many mice he would eat the first four mice went down the owl's throat very quickly then number five and number six were eaten in a short time number seven did not go down quite as rapidly and number eight was slower still
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while his master looked all round the place for him without knowing there was a bird on the stump in plain sight owls draw the feathers away from their mouths in an odd way when they eat and when walking softly to steal upon a mouse tuck up their feathers as a lady lifts her skirts
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stories of dead cities that had tumbled beneath the waves and for the famous forest of reeds covering a hundred villages which disappeared in one night were known only too well
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under the birch tree lovers met to plight their vows and on its smooth bark was often cut the figure of two hearts joined in one
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they did not sink in the mud and the man's feet were comfortable even after hours of labor they did not draw his feet and they kept out the water far better than leather possibly could
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when the van eyck vrouw and the children saw how happy daddy was they each one wanted a pair then they asked him what he called them
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in such a case all the people the babies and their mothers men women horses and cattle would be drowned the dutch folks were a little too fast he thought in winning their acres from the sea
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in one hand he grasped his tool box in the other he held a curious looking machine it was a big lump of iron set in a frame with ropes to pull it up and let it fall down with a thump what is it asked van eyck
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they were lively and happy what now asked the dreamer smilingly of his two visitors he had hardly got the question out of his mouth when in walked a kabouter all smutty with blacksmith work
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that's the way the dutch talk not how do you do but in their watery country it is this how do you sail or else how goes it with you already
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moreover he was frightened at the thought that the new land made by pushing back the ocean and building dikes might sink down again and go back to the fishes
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the carpenter daddy continued to mourn over the loss of the forests he even shed tears fearing lest by and by there should not one oak tree be left in the country
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then van eyck told his dream it was this the moss maiden and trintje the wood elf came to him again at night and danced
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one day while sitting on his doorstep brooding sorrowfully a moss maiden and a tree elf appeared skipping along hand in hand
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which his fathers loved and which he would allow no one to cut down looking up the leaves of the tree rustled and one big branch seemed to sweep near him
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it's a hey a pile driver said the kabouter showing him how to use it when men say to you on the street tomorrow how do you sail laugh at them said the moss maiden herself laughing
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did they not say you could walk on top of them by this time van eyck had asked so many questions and kept the elves so long that the moss maiden peeped anxiously through the window
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i and my fellow oak trees shall pass away but the sunshine shall be spread over the land and make it dry then
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then it whispered in his ear do not mourn for your descendants even many generations hence shall see greater things than you have witnessed
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yes and now you can tell the people how to build cities with mighty churches with lofty towers and with high houses like those in other lands
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take the trees trim the branches off sharpen the tops turn them upside down and pound them deep in the ground did not the ancient oak promise that the trees would be turned upside down for you
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they came up to him and told him that his ancestral oak had a message for him then they laughed and ran away van eyck which was now the man's fully family name went into the forest and stood under the grand old oak tree
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instead of its falling down like acorns from the trees more and better food shall come up from out of the earth
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klompen said he in good dutch and klompen or klomps they are to this day i'll make a fortune of this said van eyck i'll set up a klomp winkel shop for wooden shoes at once
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where green fields now spread and the cities grow where forests were we shall come to life again but in another form
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i'll make another fortune out of this also said the happy man who next morning was saluted as mr joyful at once van eyck set up a factory for making pile drivers
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in summer the forest furnished shade and in winter warmth from the fire in the spring time the new leaves were a wonder and in autumn the pigs grew fat on the mast or the acorns that had dropped on the ground
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seeing the day breaking she and trintje and the kabouter flew away so as not to be petrified by the sunrise
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the leaves of the branch rustled for another moment then all was still until the moss maiden and trintje the tree elf again hand in hand as they tripled along merrily appeared to him
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so a foundation as good as stone was made in the soft and spongy soil and well built houses uprose by the thousands
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will we do this believe what we tell you and be happy we shall turn ourselves upside down for you i cannot see how all these things can be said van eyck fear not my promise will endure
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yet soon there rose large cities with splendid mansions and town halls as high towards heaven as the cathedrals and towers in the other lands which had rock for foundation her brick churches rose in the air
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nor need you fear for the land that it will fall for even while living we and all the oak trees that are left and all the birch beech and pine trees shall stand on our heads for you
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when most needed we shall furnish you and your children and children's children with warmth comfort fire light and wealth
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we shall hold up your houses lest they fall into the ooze and you shall walk and run over our heads as truly as when rooted in the soil
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on top of the forest trees driven deep in the sand and clay dams and dykes were built that kept out the ocean so
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even the lofty walls of churches stood firm the spires were unshaken in the storm old holland had no fertile soil like france or vast flocks of sheeps producing wool like england or armies of weavers as in the belgic lands
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sending men into the woods who chose the tall straight trees he had their branches cut off then he sharpened the trunks at one end and these were driven by the pile driver down far and deep into the ground
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we shall help you and get our friends the elves to do the same now do you take some oak wood and saw off two pieces each a foot long
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instead of the old two thousand square miles there were in the realm in the course of years twelve thousand rich in green fields and cattle
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pondering on what all this might mean van eyck went to his wood shed and sawed off the oak timber at night after his wife had cleared off the supper table he laid the foot-long pieces in their place
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when van eyck woke up in the morning he recalled his dream and before he was dressed hurried to the kitchen there on the table lay a pair of neatly made wooden shoes
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see that they are well dried then set them on the kitchen table tonight when you go to bed after saying this and looking at each other and laughing just as girls do they disappeared
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they had heels at the bottom and were nicely pointed at the toes and altogether were very inviting to the foot he tried them on and found that they fitted him exactly
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not a sign of tools or shavings could be seen but the clean wood and pleasant odor made him glad when he glanced again at the wooden shoes he found them perfectly smooth both inside and out
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so going out to the blacksmith's shop in the village he had the man who pounded iron fashion for him on his anvil a set of tools exactly like those used by the kabouter and the elf which he had seen in his dream
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so for thousands of years when men made their home in the forest and wanted nothing else the trees were sacred but by and by when cows came into the land and sheep and horses multiplied
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in years long gone too many for the almanac to tell of or for clocks and watches to measure millions of good fairies came down from the sun and went into the earth
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at night in his dreams he saw two elves come through the window into the kitchen one a kabouter dark and ugly had a box of tools the other a light faced
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were the chief ones that made holland the fairies that lived in the trees bore the name of moss maidens or
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which they ate roasted boiled or mashed or made into meal from which something like bread was kneaded and baked
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but for van eyck it was like walking on ice after slipping and balancing himself as if on a tightrope and nearly breaking his nose against the wall he took off the wooden shoes and kept them off while inside the house
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there they changed themselves into roots and leaves and became trees there were many kinds of these as they covered the earth but the pine and birch ash and oak
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tree trintjes which is the dutch pet name for kate or katharine the oak was the favorite tree for people lived then on acorns
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he tried to walk on the kitchen floor which his wife kept scrubbed and polished and then sprinkled with clean white sand with broomstick ripples scored in the layers
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however when he went outdoors he found his new shoes very light pleasant to the feet and easy to walk in it was not so much like trying to skate as it had been in the kitchen
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with oak bark men tanned hides and made leather and from its timber boats and houses under its branches near the trunk people laid their sick hoping for help from the gods
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then he hollowed out from inside of it a pair of shoes which the elf smoothed and polished then one elf put his little feet in them and tried to dance but he only slipped on the smooth floor and flattened his nose
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up among its leafy branches the new babies lay before they were found in the cradle by the other children to make a young child grow up to be strong and healthy mothers drew them through a split sampling of young tree
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at first the two elves seemed to be quarreling as to who should be the boss then they settled down quietly to work the kabouter took the wood and shaped it on the outside
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but the other fellow pulled the nose straight again so it was all right they waltzed together upon the wooden shoes then took them off jumped out the window and ran away
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even more wonderful as medicine for the country itself the oak had power to heal the new land sometimes suffered from disease called the fall
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elf seemed to be the guide the kabouter at once got out his saw hatchet auger long chisel-like knife and smoothing plane
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beneath the oak boughs also warriors took oaths to be faithful to their lords women made promises or wives joined hand in hand around its girth hoping to have beautiful children
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when van eyck put the wooden shoes on he found that out in the fields in the mud and on the soft soil and in sloppy places this sort of foot gear was just the thing
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then he hung out a sign marked wooden blocks for shoes he made klomps for the little folks just out of the nursery for boys and girls for grown men and women and for all who walked out-of-doors in the street or on the fields
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soon klomps came to be the fashion in all the country places it was good manners when you went into a house to take off your wooden shoes and leave them at the door
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more open ground was needed for pasture grain fields and meadows fruit trees bearing apples and pears peaches and cherries were planted and grass wheat rye and barley were grown
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when sick with the val the ground sunk then people houses churches barns and cattle all went down out of sight and were lost forever in a flood of water but the oak with its mighty roots held the soil firm
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then instead of the dark woods men liked to have their gardens and orchards open to the sunlight still the people were very rude and all they had on their bare feet were rough bits of hard leather tied on through their toes
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then the new holland with its people and red roofed houses with its chimneys and windmills and dykes and storks took the place of the old holt land of many trees
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soon a thousand needles were clicking to put a soft cushion between one's soles and toes and the wood women knitted even while they walked to market or gossiped on the street
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Dataset Card for English MLS

Dataset Summary

This is a streamable version of the English version of the Multilingual LibriSpeech (MLS) dataset. The data archives were restructured from the original ones from OpenSLR to make it easier to stream.

MLS dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish. It includes about 44.5K hours of English and a total of about 6K hours for other languages.

This dataset card includes the 44.5K hours of English. Refers to this dataset card for the other languages.

Supported Tasks and Leaderboards

  • automatic-speech-recognition, speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR). The model is presented with an audio file and asked to transcribe the audio file to written text. The most common evaluation metric is the word error rate (WER). The task has an active leaderboard which can be found at https://paperswithcode.com/dataset/multilingual-librispeech and ranks models based on their WER.
  • text-to-speech, text-to-audio: The dataset can also be used to train a model for Text-To-Speech (TTS).

How to use

The datasets library allows you to load and pre-process your dataset in pure Python, at scale. The dataset can be downloaded and prepared in one call to your local drive by using the load_dataset function.

For example, to download the German config, simply specify the corresponding language config name (i.e., "german" for German):

from datasets import load_dataset

mls = load_dataset("parler-tts/mls_eng", split="train")

Using the datasets library, you can also stream the dataset on-the-fly by adding a streaming=True argument to the load_dataset function call. Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire dataset to disk.

from datasets import load_dataset

mls = load_dataset("parler-tts/mls_eng", split="train", streaming=True)

print(next(iter(mls)))

Bonus: create a PyTorch dataloader directly with your own datasets (local/streamed).

Local:

from datasets import load_dataset
from torch.utils.data.sampler import BatchSampler, RandomSampler

mls = load_dataset("parler-tts/mls_eng", split="train")
batch_sampler = BatchSampler(RandomSampler(mls), batch_size=32, drop_last=False)
dataloader = DataLoader(mls, batch_sampler=batch_sampler)

Streaming:

from datasets import load_dataset
from torch.utils.data import DataLoader

mls = load_dataset("parler-tts/mls_eng", split="train", streaming=True)
dataloader = DataLoader(mls, batch_size=32)

To find out more about loading and preparing audio datasets, head over to hf.co/blog/audio-datasets.

Example scripts

Train your own CTC or Seq2Seq Automatic Speech Recognition models on MultiLingual Librispeech with transformers - here.

Dataset Structure

Data Fields

  • file: A filename .flac format.

  • audio: A dictionary containing the audio filename, the decoded audio array, and the sampling rate. Note that when accessing the audio column: dataset[0]["audio"] the audio file is automatically decoded and resampled to dataset.features["audio"].sampling_rate. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the "audio" column, i.e. dataset[0]["audio"] should always be preferred over dataset["audio"][0].

  • text: the transcription of the audio file.

  • id: unique id of the data sample.

  • speaker_id: unique id of the speaker. The same speaker id can be found for multiple data samples.

  • chapter_id: id of the audiobook chapter which includes the transcription.

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in this dataset.

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

[Needs More Information]

Licensing Information

Public Domain, Creative Commons Attribution 4.0 International Public License (CC-BY-4.0)

Citation Information

@article{Pratap2020MLSAL,
  title={MLS: A Large-Scale Multilingual Dataset for Speech Research},
  author={Vineel Pratap and Qiantong Xu and Anuroop Sriram and Gabriel Synnaeve and Ronan Collobert},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.03411}
}

Data Statistics

Duration (h) Train Dev Test
English 44,659.74 15.75 15.55
German 1,966.51 14.28 14.29
Dutch 1,554.24 12.76 12.76
French 1,076.58 10.07 10.07
Spanish 917.68 9.99 10
Italian 247.38 5.18 5.27
Portuguese 160.96 3.64 3.74
Polish 103.65 2.08 2.14
# Speakers Train Dev Test
Gender M F M F M F
English 2742 2748 21 21 21 21
German 81 95 15 15 15 15
Dutch 9 31 3 3 3 3
French 62 80 9 9 9 9
Spanish 36 50 10 10 10 10
Italian 22 43 5 5 5 5
Portuguese 26 16 5 5 5 5
Polish 6 5 2 2 2 2
# Hours / Gender Dev Test
Gender M F M F
English 7.76 7.99 7.62 7.93
German 7.06 7.22 7 7.29
Dutch 6.44 6.32 6.72 6.04
French 5.13 4.94 5.04 5.02
Spanish 4.91 5.08 4.78 5.23
Italian 2.5 2.68 2.38 2.9
Portuguese 1.84 1.81 1.83 1.9
Polish 1.12 0.95 1.09 1.05
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