FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech
Paper • 2205.12446 • Published • 2
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 7 new columns ({'Основной религией в Молдавии является православное христианство.', '12991791007873426296.wav', 'о с н о в н о й | р е л и г и е й | в | м о л д а в и и | я в л я е т с я | п р а в о с л а в н о е | х р и с т и а н с т в о |', '1652', 'FEMALE', '132480', 'основной религией в молдавии является православное христианство'}) and 7 missing columns ({'15158676295442294624.wav', '1590', '183360', "t h e | m a i n | l o c a l | b e e r | i s | n u m b e r | o n e ' | i t | i s | n o t | a | c o m p l e x | b e e r | b u t | p l e a s a n t | a n d | r e f r e s h i n g | t h e | o t h e r | l o c a l | b e e r | i s | c a l l e d | m a n t a |", 'The main local beer is \'Number One\', it is not a complex beer, but pleasant and refreshing. The other local beer is called "Manta".', 'MALE', "the main local beer is number one' it is not a complex beer but pleasant and refreshing the other local beer is called manta"}).
This happened while the csv dataset builder was generating data using
hf://datasets/golden-eaglet/fleurs-en-ru-speech-validation/data/ru_ru/dev.tsv (at revision 96992eaf6ffd3ded60def0ce524ea5ba0d3852c3), ['hf://datasets/golden-eaglet/fleurs-en-ru-speech-validation@96992eaf6ffd3ded60def0ce524ea5ba0d3852c3/data/en_us/dev.tsv', 'hf://datasets/golden-eaglet/fleurs-en-ru-speech-validation@96992eaf6ffd3ded60def0ce524ea5ba0d3852c3/data/ru_ru/dev.tsv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1856, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
1652: int64
12991791007873426296.wav: string
Основной религией в Молдавии является православное хр (... 21 chars omitted): string
основной религией в молдавии является православное хр (... 20 chars omitted): string
о с н о в н о й | р е л и г и е й | в | м о л д а в и и | я в л я е т (... 84 chars omitted): string
132480: int64
FEMALE: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3271
to
{'1590': Value('int64'), '15158676295442294624.wav': Value('string'), 'The main local beer is \'Number One\', it is not a complex beer, but pleasant and refreshing. The other local beer is called "Manta".': Value('string'), "the main local beer is number one' it is not a complex beer but pleasant and refreshing the other local beer is called manta": Value('string'), "t h e | m a i n | l o c a l | b e e r | i s | n u m b e r | o n e ' | i t | i s | n o t | a | c o m p l e x | b e e r | b u t | p l e a s a n t | a n d | r e f r e s h i n g | t h e | o t h e r | l o c a l | b e e r | i s | c a l l e d | m a n t a |": Value('string'), '183360': Value('int64'), 'MALE': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 7 new columns ({'Основной религией в Молдавии является православное христианство.', '12991791007873426296.wav', 'о с н о в н о й | р е л и г и е й | в | м о л д а в и и | я в л я е т с я | п р а в о с л а в н о е | х р и с т и а н с т в о |', '1652', 'FEMALE', '132480', 'основной религией в молдавии является православное христианство'}) and 7 missing columns ({'15158676295442294624.wav', '1590', '183360', "t h e | m a i n | l o c a l | b e e r | i s | n u m b e r | o n e ' | i t | i s | n o t | a | c o m p l e x | b e e r | b u t | p l e a s a n t | a n d | r e f r e s h i n g | t h e | o t h e r | l o c a l | b e e r | i s | c a l l e d | m a n t a |", 'The main local beer is \'Number One\', it is not a complex beer, but pleasant and refreshing. The other local beer is called "Manta".', 'MALE', "the main local beer is number one' it is not a complex beer but pleasant and refreshing the other local beer is called manta"}).
This happened while the csv dataset builder was generating data using
hf://datasets/golden-eaglet/fleurs-en-ru-speech-validation/data/ru_ru/dev.tsv (at revision 96992eaf6ffd3ded60def0ce524ea5ba0d3852c3), ['hf://datasets/golden-eaglet/fleurs-en-ru-speech-validation@96992eaf6ffd3ded60def0ce524ea5ba0d3852c3/data/en_us/dev.tsv', 'hf://datasets/golden-eaglet/fleurs-en-ru-speech-validation@96992eaf6ffd3ded60def0ce524ea5ba0d3852c3/data/ru_ru/dev.tsv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
1590 int64 | 15158676295442294624.wav string | The main local beer is 'Number One', it is not a complex beer, but pleasant and refreshing. The other local beer is called "Manta". string | the main local beer is number one' it is not a complex beer but pleasant and refreshing the other local beer is called manta string | t h e | m a i n | l o c a l | b e e r | i s | n u m b e r | o n e ' | i t | i s | n o t | a | c o m p l e x | b e e r | b u t | p l e a s a n t | a n d | r e f r e s h i n g | t h e | o t h e r | l o c a l | b e e r | i s | c a l l e d | m a n t a | string | 183360 int64 | MALE string |
|---|---|---|---|---|---|---|
1,590 | 12952903060751652532.wav | The main local beer is 'Number One', it is not a complex beer, but pleasant and refreshing. The other local beer is called "Manta". | the main local beer is number one' it is not a complex beer but pleasant and refreshing the other local beer is called manta | t h e | m a i n | l o c a l | b e e r | i s | n u m b e r | o n e ' | i t | i s | n o t | a | c o m p l e x | b e e r | b u t | p l e a s a n t | a n d | r e f r e s h i n g | t h e | o t h e r | l o c a l | b e e r | i s | c a l l e d | m a n t a | | 169,280 | MALE |
1,544 | 16131823300806444840.wav | Insects were the first animals to take to the air. Their ability to fly helped them evade enemies more easily and find food and mates more efficiently. | insects were the first animals to take to the air their ability to fly helped them evade enemies more easily and find food and mates more efficiently | i n s e c t s | w e r e | t h e | f i r s t | a n i m a l s | t o | t a k e | t o | t h e | a i r | t h e i r | a b i l i t y | t o | f l y | h e l p e d | t h e m | e v a d e | e n e m i e s | m o r e | e a s i l y | a n d | f i n d | f o o d | a n d | m a t e s | m o r e | e f f i c i e n t l y | | 205,440 | MALE |
1,544 | 2606692427476446963.wav | Insects were the first animals to take to the air. Their ability to fly helped them evade enemies more easily and find food and mates more efficiently. | insects were the first animals to take to the air their ability to fly helped them evade enemies more easily and find food and mates more efficiently | i n s e c t s | w e r e | t h e | f i r s t | a n i m a l s | t o | t a k e | t o | t h e | a i r | t h e i r | a b i l i t y | t o | f l y | h e l p e d | t h e m | e v a d e | e n e m i e s | m o r e | e a s i l y | a n d | f i n d | f o o d | a n d | m a t e s | m o r e | e f f i c i e n t l y | | 145,920 | FEMALE |
1,544 | 2812938565630042744.wav | Insects were the first animals to take to the air. Their ability to fly helped them evade enemies more easily and find food and mates more efficiently. | insects were the first animals to take to the air their ability to fly helped them evade enemies more easily and find food and mates more efficiently | i n s e c t s | w e r e | t h e | f i r s t | a n i m a l s | t o | t a k e | t o | t h e | a i r | t h e i r | a b i l i t y | t o | f l y | h e l p e d | t h e m | e v a d e | e n e m i e s | m o r e | e a s i l y | a n d | f i n d | f o o d | a n d | m a t e s | m o r e | e f f i c i e n t l y | | 145,920 | FEMALE |
1,646 | 4175831345558885921.wav | There are many beaches, due to Auckland's straddling of two harbours. The most popular ones are in three areas. | there are many beaches due to auckland's straddling of two harbours the most popular ones are in three areas | t h e r e | a r e | m a n y | b e a c h e s | d u e | t o | a u c k l a n d ' s | s t r a d d l i n g | o f | t w o | h a r b o u r s | t h e | m o s t | p o p u l a r | o n e s | a r e | i n | t h r e e | a r e a s | | 96,000 | FEMALE |
1,646 | 7939024995221969344.wav | There are many beaches, due to Auckland's straddling of two harbours. The most popular ones are in three areas. | there are many beaches due to auckland's straddling of two harbours the most popular ones are in three areas | t h e r e | a r e | m a n y | b e a c h e s | d u e | t o | a u c k l a n d ' s | s t r a d d l i n g | o f | t w o | h a r b o u r s | t h e | m o s t | p o p u l a r | o n e s | a r e | i n | t h r e e | a r e a s | | 170,880 | FEMALE |
1,557 | 665062717314476757.wav | After seeing the horrors and atrocities of war during World War I, nations desired to avoid such a situation again in the future. | after seeing the horrors and atrocities of war during world war i nations desired to avoid such a situation again in the future | a f t e r | s e e i n g | t h e | h o r r o r s | a n d | a t r o c i t i e s | o f | w a r | d u r i n g | w o r l d | w a r | i | n a t i o n s | d e s i r e d | t o | a v o i d | s u c h | a | s i t u a t i o n | a g a i n | i n | t h e | f u t u r e | | 120,000 | FEMALE |
1,557 | 12470893547277455431.wav | After seeing the horrors and atrocities of war during World War I, nations desired to avoid such a situation again in the future. | after seeing the horrors and atrocities of war during world war i nations desired to avoid such a situation again in the future | a f t e r | s e e i n g | t h e | h o r r o r s | a n d | a t r o c i t i e s | o f | w a r | d u r i n g | w o r l d | w a r | i | n a t i o n s | d e s i r e d | t o | a v o i d | s u c h | a | s i t u a t i o n | a g a i n | i n | t h e | f u t u r e | | 170,880 | FEMALE |
1,557 | 16359228487623086121.wav | After seeing the horrors and atrocities of war during World War I, nations desired to avoid such a situation again in the future. | after seeing the horrors and atrocities of war during world war i nations desired to avoid such a situation again in the future | a f t e r | s e e i n g | t h e | h o r r o r s | a n d | a t r o c i t i e s | o f | w a r | d u r i n g | w o r l d | w a r | i | n a t i o n s | d e s i r e d | t o | a v o i d | s u c h | a | s i t u a t i o n | a g a i n | i n | t h e | f u t u r e | | 124,800 | FEMALE |
1,609 | 3165540733904730243.wav | Robin Uthappa made the innings highest score, 70 runs in just 41 balls by hitting 11 fours and 2 sixes. | robin uthappa made the innings highest score 70 runs in just 41 balls by hitting 11 fours and 2 sixes | r o b i n | u t h a p p a | m a d e | t h e | i n n i n g s | h i g h e s t | s c o r e | 7 0 | r u n s | i n | j u s t | 4 1 | b a l l s | b y | h i t t i n g | 1 1 | f o u r s | a n d | 2 | s i x e s | | 160,000 | MALE |
1,609 | 13432781409214475589.wav | Robin Uthappa made the innings highest score, 70 runs in just 41 balls by hitting 11 fours and 2 sixes. | robin uthappa made the innings highest score 70 runs in just 41 balls by hitting 11 fours and 2 sixes | r o b i n | u t h a p p a | m a d e | t h e | i n n i n g s | h i g h e s t | s c o r e | 7 0 | r u n s | i n | j u s t | 4 1 | b a l l s | b y | h i t t i n g | 1 1 | f o u r s | a n d | 2 | s i x e s | | 138,240 | FEMALE |
1,609 | 6055213138267211441.wav | Robin Uthappa made the innings highest score, 70 runs in just 41 balls by hitting 11 fours and 2 sixes. | robin uthappa made the innings highest score 70 runs in just 41 balls by hitting 11 fours and 2 sixes | r o b i n | u t h a p p a | m a d e | t h e | i n n i n g s | h i g h e s t | s c o r e | 7 0 | r u n s | i n | j u s t | 4 1 | b a l l s | b y | h i t t i n g | 1 1 | f o u r s | a n d | 2 | s i x e s | | 198,080 | MALE |
1,601 | 9882585482935912523.wav | Scientists think that ocelots follow and find animals to eat (prey) by smell, sniffing for where they've been on the ground. | scientists think that ocelots follow and find animals to eat prey by smell sniffing for where they've been on the ground | s c i e n t i s t s | t h i n k | t h a t | o c e l o t s | f o l l o w | a n d | f i n d | a n i m a l s | t o | e a t | p r e y | b y | s m e l l | s n i f f i n g | f o r | w h e r e | t h e y ' v e | b e e n | o n | t h e | g r o u n d | | 126,720 | FEMALE |
1,601 | 4061126165286017165.wav | Scientists think that ocelots follow and find animals to eat (prey) by smell, sniffing for where they've been on the ground. | scientists think that ocelots follow and find animals to eat prey by smell sniffing for where they've been on the ground | s c i e n t i s t s | t h i n k | t h a t | o c e l o t s | f o l l o w | a n d | f i n d | a n i m a l s | t o | e a t | p r e y | b y | s m e l l | s n i f f i n g | f o r | w h e r e | t h e y ' v e | b e e n | o n | t h e | g r o u n d | | 144,000 | FEMALE |
1,601 | 15977714626755944007.wav | Scientists think that ocelots follow and find animals to eat (prey) by smell, sniffing for where they've been on the ground. | scientists think that ocelots follow and find animals to eat prey by smell sniffing for where they've been on the ground | s c i e n t i s t s | t h i n k | t h a t | o c e l o t s | f o l l o w | a n d | f i n d | a n i m a l s | t o | e a t | p r e y | b y | s m e l l | s n i f f i n g | f o r | w h e r e | t h e y ' v e | b e e n | o n | t h e | g r o u n d | | 180,800 | MALE |
1,627 | 771164859457517955.wav | Ancient Roman meals couldn't have included foods that came to Europe from America or from Asia in later centuries. | ancient roman meals couldn't have included foods that came to europe from america or from asia in later centuries | a n c i e n t | r o m a n | m e a l s | c o u l d n ' t | h a v e | i n c l u d e d | f o o d s | t h a t | c a m e | t o | e u r o p e | f r o m | a m e r i c a | o r | f r o m | a s i a | i n | l a t e r | c e n t u r i e s | | 204,160 | MALE |
1,627 | 4484727000875589449.wav | Ancient Roman meals couldn't have included foods that came to Europe from America or from Asia in later centuries. | ancient roman meals couldn't have included foods that came to europe from america or from asia in later centuries | a n c i e n t | r o m a n | m e a l s | c o u l d n ' t | h a v e | i n c l u d e d | f o o d s | t h a t | c a m e | t o | e u r o p e | f r o m | a m e r i c a | o r | f r o m | a s i a | i n | l a t e r | c e n t u r i e s | | 134,400 | FEMALE |
1,627 | 5570899521134143454.wav | Ancient Roman meals couldn't have included foods that came to Europe from America or from Asia in later centuries. | ancient roman meals couldn't have included foods that came to europe from america or from asia in later centuries | a n c i e n t | r o m a n | m e a l s | c o u l d n ' t | h a v e | i n c l u d e d | f o o d s | t h a t | c a m e | t o | e u r o p e | f r o m | a m e r i c a | o r | f r o m | a s i a | i n | l a t e r | c e n t u r i e s | | 170,880 | MALE |
1,638 | 4240392157002027036.wav | Safaris are perhaps the greatest tourism draw in Africa and the highlight for many visitors. | safaris are perhaps the greatest tourism draw in africa and the highlight for many visitors | s a f a r i s | a r e | p e r h a p s | t h e | g r e a t e s t | t o u r i s m | d r a w | i n | a f r i c a | a n d | t h e | h i g h l i g h t | f o r | m a n y | v i s i t o r s | | 105,280 | MALE |
1,638 | 9742912202579443140.wav | Safaris are perhaps the greatest tourism draw in Africa and the highlight for many visitors. | safaris are perhaps the greatest tourism draw in africa and the highlight for many visitors | s a f a r i s | a r e | p e r h a p s | t h e | g r e a t e s t | t o u r i s m | d r a w | i n | a f r i c a | a n d | t h e | h i g h l i g h t | f o r | m a n y | v i s i t o r s | | 99,840 | FEMALE |
1,520 | 14159953987327027140.wav | Out of 1,400 people polled prior to the 2010 federal election, those who oppose Australia becoming a republic grew by 8 per cent since 2008. | out of 1,400 people polled prior to the 2010 federal election those who oppose australia becoming a republic grew by 8 per cent since 2008 | o u t | o f | 1 , 4 0 0 | p e o p l e | p o l l e d | p r i o r | t o | t h e | 2 0 1 0 | f e d e r a l | e l e c t i o n | t h o s e | w h o | o p p o s e | a u s t r a l i a | b e c o m i n g | a | r e p u b l i c | g r e w | b y | 8 | p e r | c e n t | s i n c e | 2 0 0 8 | | 218,880 | FEMALE |
1,520 | 608005572552850776.wav | Out of 1,400 people polled prior to the 2010 federal election, those who oppose Australia becoming a republic grew by 8 per cent since 2008. | out of 1,400 people polled prior to the 2010 federal election those who oppose australia becoming a republic grew by 8 per cent since 2008 | o u t | o f | 1 , 4 0 0 | p e o p l e | p o l l e d | p r i o r | t o | t h e | 2 0 1 0 | f e d e r a l | e l e c t i o n | t h o s e | w h o | o p p o s e | a u s t r a l i a | b e c o m i n g | a | r e p u b l i c | g r e w | b y | 8 | p e r | c e n t | s i n c e | 2 0 0 8 | | 239,040 | MALE |
1,520 | 11607118204495423532.wav | Out of 1,400 people polled prior to the 2010 federal election, those who oppose Australia becoming a republic grew by 8 per cent since 2008. | out of 1,400 people polled prior to the 2010 federal election those who oppose australia becoming a republic grew by 8 per cent since 2008 | o u t | o f | 1 , 4 0 0 | p e o p l e | p o l l e d | p r i o r | t o | t h e | 2 0 1 0 | f e d e r a l | e l e c t i o n | t h o s e | w h o | o p p o s e | a u s t r a l i a | b e c o m i n g | a | r e p u b l i c | g r e w | b y | 8 | p e r | c e n t | s i n c e | 2 0 0 8 | | 149,760 | FEMALE |
1,568 | 12252827175552105583.wav | Though it is widely used, especially among non-Romani, the word "Gypsy" is often considered offensive because of its associations with negative stereotypes and inaccurate perceptions of Romani people. | though it is widely used especially among non-romani the word gypsy is often considered offensive because of its associations with negative stereotypes and inaccurate perceptions of romani people | t h o u g h | i t | i s | w i d e l y | u s e d | e s p e c i a l l y | a m o n g | n o n - r o m a n i | t h e | w o r d | g y p s y | i s | o f t e n | c o n s i d e r e d | o f f e n s i v e | b e c a u s e | o f | i t s | a s s o c i a t i o n s | w i t h | n e g a t i v e | s t e r e o t y p e s | a n d | i n a c ... | 212,160 | FEMALE |
1,568 | 4139078021852628123.wav | Though it is widely used, especially among non-Romani, the word "Gypsy" is often considered offensive because of its associations with negative stereotypes and inaccurate perceptions of Romani people. | though it is widely used especially among non-romani the word gypsy is often considered offensive because of its associations with negative stereotypes and inaccurate perceptions of romani people | t h o u g h | i t | i s | w i d e l y | u s e d | e s p e c i a l l y | a m o n g | n o n - r o m a n i | t h e | w o r d | g y p s y | i s | o f t e n | c o n s i d e r e d | o f f e n s i v e | b e c a u s e | o f | i t s | a s s o c i a t i o n s | w i t h | n e g a t i v e | s t e r e o t y p e s | a n d | i n a c ... | 228,800 | MALE |
1,568 | 8454487106008398737.wav | Though it is widely used, especially among non-Romani, the word "Gypsy" is often considered offensive because of its associations with negative stereotypes and inaccurate perceptions of Romani people. | though it is widely used especially among non-romani the word gypsy is often considered offensive because of its associations with negative stereotypes and inaccurate perceptions of romani people | t h o u g h | i t | i s | w i d e l y | u s e d | e s p e c i a l l y | a m o n g | n o n - r o m a n i | t h e | w o r d | g y p s y | i s | o f t e n | c o n s i d e r e d | o f f e n s i v e | b e c a u s e | o f | i t s | a s s o c i a t i o n s | w i t h | n e g a t i v e | s t e r e o t y p e s | a n d | i n a c ... | 197,760 | FEMALE |
1,630 | 8259791173436815888.wav | Arly Velasquez of Mexico finished fifteenth in the men's sitting Super-G. New Zealand's Adam Hall finished ninth in the men's standing Super-G. | arly velasquez of mexico finished fifteenth in the men's sitting super-g new zealand's adam hall finished ninth in the men's standing super-g | a r l y | v e l a s q u e z | o f | m e x i c o | f i n i s h e d | f i f t e e n t h | i n | t h e | m e n ' s | s i t t i n g | s u p e r - g | n e w | z e a l a n d ' s | a d a m | h a l l | f i n i s h e d | n i n t h | i n | t h e | m e n ' s | s t a n d i n g | s u p e r - g | | 138,240 | FEMALE |
1,630 | 15642349568454487743.wav | Arly Velasquez of Mexico finished fifteenth in the men's sitting Super-G. New Zealand's Adam Hall finished ninth in the men's standing Super-G. | arly velasquez of mexico finished fifteenth in the men's sitting super-g new zealand's adam hall finished ninth in the men's standing super-g | a r l y | v e l a s q u e z | o f | m e x i c o | f i n i s h e d | f i f t e e n t h | i n | t h e | m e n ' s | s i t t i n g | s u p e r - g | n e w | z e a l a n d ' s | a d a m | h a l l | f i n i s h e d | n i n t h | i n | t h e | m e n ' s | s t a n d i n g | s u p e r - g | | 229,440 | FEMALE |
1,658 | 16799907084202296752.wav | With only eighteen medals available a day, a number of countries have failed to make the medal podium. | with only eighteen medals available a day a number of countries have failed to make the medal podium | w i t h | o n l y | e i g h t e e n | m e d a l s | a v a i l a b l e | a | d a y | a | n u m b e r | o f | c o u n t r i e s | h a v e | f a i l e d | t o | m a k e | t h e | m e d a l | p o d i u m | | 109,440 | FEMALE |
1,658 | 2842775607363710885.wav | With only eighteen medals available a day, a number of countries have failed to make the medal podium. | with only eighteen medals available a day a number of countries have failed to make the medal podium | w i t h | o n l y | e i g h t e e n | m e d a l s | a v a i l a b l e | a | d a y | a | n u m b e r | o f | c o u n t r i e s | h a v e | f a i l e d | t o | m a k e | t h e | m e d a l | p o d i u m | | 90,240 | FEMALE |
1,562 | 16817758965840412496.wav | This became common practice, but the iron caused more wear on the wooden wheels of the wagons. | this became common practice but the iron caused more wear on the wooden wheels of the wagons | t h i s | b e c a m e | c o m m o n | p r a c t i c e | b u t | t h e | i r o n | c a u s e d | m o r e | w e a r | o n | t h e | w o o d e n | w h e e l s | o f | t h e | w a g o n s | | 106,560 | FEMALE |
1,562 | 17023935455389393902.wav | This became common practice, but the iron caused more wear on the wooden wheels of the wagons. | this became common practice but the iron caused more wear on the wooden wheels of the wagons | t h i s | b e c a m e | c o m m o n | p r a c t i c e | b u t | t h e | i r o n | c a u s e d | m o r e | w e a r | o n | t h e | w o o d e n | w h e e l s | o f | t h e | w a g o n s | | 118,080 | MALE |
1,525 | 7197385702704991551.wav | The broad boulevards, glass-fronted buildings and modern shopping centers are dotted with traditional red-tiled roofs, the 18th century market, and old mosques and churches, although the city has an atmosphere more of Mediterranean Europe than traditional Turkey. | the broad boulevards glass-fronted buildings and modern shopping centers are dotted with traditional red-tiled roofs the 18th century market and old mosques and churches although the city has an atmosphere more of mediterranean europe than traditional turkey | t h e | b r o a d | b o u l e v a r d s | g l a s s - f r o n t e d | b u i l d i n g s | a n d | m o d e r n | s h o p p i n g | c e n t e r s | a r e | d o t t e d | w i t h | t r a d i t i o n a l | r e d - t i l e d | r o o f s | t h e | 1 8 t h | c e n t u r y | m a r k e t | a n d | o l d | m o s q u e s | a n d ... | 226,560 | FEMALE |
1,525 | 14353083584085318982.wav | The broad boulevards, glass-fronted buildings and modern shopping centers are dotted with traditional red-tiled roofs, the 18th century market, and old mosques and churches, although the city has an atmosphere more of Mediterranean Europe than traditional Turkey. | the broad boulevards glass-fronted buildings and modern shopping centers are dotted with traditional red-tiled roofs the 18th century market and old mosques and churches although the city has an atmosphere more of mediterranean europe than traditional turkey | t h e | b r o a d | b o u l e v a r d s | g l a s s - f r o n t e d | b u i l d i n g s | a n d | m o d e r n | s h o p p i n g | c e n t e r s | a r e | d o t t e d | w i t h | t r a d i t i o n a l | r e d - t i l e d | r o o f s | t h e | 1 8 t h | c e n t u r y | m a r k e t | a n d | o l d | m o s q u e s | a n d ... | 247,680 | FEMALE |
1,648 | 4597829414184879457.wav | There were no large forests in the land of Canaan, so wood was extremely expensive. | there were no large forests in the land of canaan so wood was extremely expensive | t h e r e | w e r e | n o | l a r g e | f o r e s t s | i n | t h e | l a n d | o f | c a n a a n | s o | w o o d | w a s | e x t r e m e l y | e x p e n s i v e | | 128,640 | FEMALE |
1,648 | 12428655597216442259.wav | There were no large forests in the land of Canaan, so wood was extremely expensive. | there were no large forests in the land of canaan so wood was extremely expensive | t h e r e | w e r e | n o | l a r g e | f o r e s t s | i n | t h e | l a n d | o f | c a n a a n | s o | w o o d | w a s | e x t r e m e l y | e x p e n s i v e | | 97,920 | MALE |
1,578 | 4543532225426899415.wav | Then, Lakkha Singh took the lead in singing the bhajans. | then lakkha singh took the lead in singing the bhajans | t h e n | l a k k h a | s i n g h | t o o k | t h e | l e a d | i n | s i n g i n g | t h e | b h a j a n s | | 132,800 | MALE |
1,578 | 14595151361585873501.wav | Then, Lakkha Singh took the lead in singing the bhajans. | then lakkha singh took the lead in singing the bhajans | t h e n | l a k k h a | s i n g h | t o o k | t h e | l e a d | i n | s i n g i n g | t h e | b h a j a n s | | 99,840 | FEMALE |
1,578 | 10098964113747380446.wav | Then, Lakkha Singh took the lead in singing the bhajans. | then lakkha singh took the lead in singing the bhajans | t h e n | l a k k h a | s i n g h | t o o k | t h e | l e a d | i n | s i n g i n g | t h e | b h a j a n s | | 66,240 | FEMALE |
1,548 | 9230849245336389657.wav | When you call someone who is thousands of miles away, you are using a satellite. | when you call someone who is thousands of miles away you are using a satellite | w h e n | y o u | c a l l | s o m e o n e | w h o | i s | t h o u s a n d s | o f | m i l e s | a w a y | y o u | a r e | u s i n g | a | s a t e l l i t e | | 114,560 | MALE |
1,548 | 10010138729160973689.wav | When you call someone who is thousands of miles away, you are using a satellite. | when you call someone who is thousands of miles away you are using a satellite | w h e n | y o u | c a l l | s o m e o n e | w h o | i s | t h o u s a n d s | o f | m i l e s | a w a y | y o u | a r e | u s i n g | a | s a t e l l i t e | | 104,640 | MALE |
1,561 | 16257945526208770570.wav | Most districts are served by small Japanese Coaster Buses, which are comfortable and sturdy. | most districts are served by small japanese coaster buses which are comfortable and sturdy | m o s t | d i s t r i c t s | a r e | s e r v e d | b y | s m a l l | j a p a n e s e | c o a s t e r | b u s e s | w h i c h | a r e | c o m f o r t a b l e | a n d | s t u r d y | | 126,720 | MALE |
1,561 | 8703130803826575936.wav | Most districts are served by small Japanese Coaster Buses, which are comfortable and sturdy. | most districts are served by small japanese coaster buses which are comfortable and sturdy | m o s t | d i s t r i c t s | a r e | s e r v e d | b y | s m a l l | j a p a n e s e | c o a s t e r | b u s e s | w h i c h | a r e | c o m f o r t a b l e | a n d | s t u r d y | | 97,920 | FEMALE |
1,561 | 14227270688333398054.wav | Most districts are served by small Japanese Coaster Buses, which are comfortable and sturdy. | most districts are served by small japanese coaster buses which are comfortable and sturdy | m o s t | d i s t r i c t s | a r e | s e r v e d | b y | s m a l l | j a p a n e s e | c o a s t e r | b u s e s | w h i c h | a r e | c o m f o r t a b l e | a n d | s t u r d y | | 144,000 | FEMALE |
1,559 | 10305808618795196942.wav | Pronunciation is relatively easy in Italian since most words are pronounced exactly how they are written | pronunciation is relatively easy in italian since most words are pronounced exactly how they are written | p r o n u n c i a t i o n | i s | r e l a t i v e l y | e a s y | i n | i t a l i a n | s i n c e | m o s t | w o r d s | a r e | p r o n o u n c e d | e x a c t l y | h o w | t h e y | a r e | w r i t t e n | | 149,120 | MALE |
1,559 | 2253278833828478370.wav | Pronunciation is relatively easy in Italian since most words are pronounced exactly how they are written | pronunciation is relatively easy in italian since most words are pronounced exactly how they are written | p r o n u n c i a t i o n | i s | r e l a t i v e l y | e a s y | i n | i t a l i a n | s i n c e | m o s t | w o r d s | a r e | p r o n o u n c e d | e x a c t l y | h o w | t h e y | a r e | w r i t t e n | | 156,480 | FEMALE |
1,559 | 15654985879045201103.wav | Pronunciation is relatively easy in Italian since most words are pronounced exactly how they are written | pronunciation is relatively easy in italian since most words are pronounced exactly how they are written | p r o n u n c i a t i o n | i s | r e l a t i v e l y | e a s y | i n | i t a l i a n | s i n c e | m o s t | w o r d s | a r e | p r o n o u n c e d | e x a c t l y | h o w | t h e y | a r e | w r i t t e n | | 94,080 | FEMALE |
1,653 | 5468754726824062194.wav | In a partnership of NPWS and the Sporting Shooters Association of Australia (NSW) Inc, qualified volunteers were recruited, under the Sporting Shooters Association's hunting program. | in a partnership of npws and the sporting shooters association of australia nsw inc qualified volunteers were recruited under the sporting shooters association's hunting program | i n | a | p a r t n e r s h i p | o f | n p w s | a n d | t h e | s p o r t i n g | s h o o t e r s | a s s o c i a t i o n | o f | a u s t r a l i a | n s w | i n c | q u a l i f i e d | v o l u n t e e r s | w e r e | r e c r u i t e d | u n d e r | t h e | s p o r t i n g | s h o o t e r s | a s s o c i a t i o n ' ... | 184,320 | FEMALE |
1,653 | 15436994428923327335.wav | In a partnership of NPWS and the Sporting Shooters Association of Australia (NSW) Inc, qualified volunteers were recruited, under the Sporting Shooters Association's hunting program. | in a partnership of npws and the sporting shooters association of australia nsw inc qualified volunteers were recruited under the sporting shooters association's hunting program | i n | a | p a r t n e r s h i p | o f | n p w s | a n d | t h e | s p o r t i n g | s h o o t e r s | a s s o c i a t i o n | o f | a u s t r a l i a | n s w | i n c | q u a l i f i e d | v o l u n t e e r s | w e r e | r e c r u i t e d | u n d e r | t h e | s p o r t i n g | s h o o t e r s | a s s o c i a t i o n ' ... | 304,000 | MALE |
1,528 | 6969469525741631060.wav | Some festivals have special camping areas for families with young children. | some festivals have special camping areas for families with young children | s o m e | f e s t i v a l s | h a v e | s p e c i a l | c a m p i n g | a r e a s | f o r | f a m i l i e s | w i t h | y o u n g | c h i l d r e n | | 92,160 | FEMALE |
1,528 | 10280794863324544626.wav | Some festivals have special camping areas for families with young children. | some festivals have special camping areas for families with young children | s o m e | f e s t i v a l s | h a v e | s p e c i a l | c a m p i n g | a r e a s | f o r | f a m i l i e s | w i t h | y o u n g | c h i l d r e n | | 109,440 | MALE |
1,628 | 4421291307365212801.wav | Handicraft products might be defined as antiques, though they are younger than similar mass-produced goods. | handicraft products might be defined as antiques though they are younger than similar mass-produced goods | h a n d i c r a f t | p r o d u c t s | m i g h t | b e | d e f i n e d | a s | a n t i q u e s | t h o u g h | t h e y | a r e | y o u n g e r | t h a n | s i m i l a r | m a s s - p r o d u c e d | g o o d s | | 178,560 | FEMALE |
1,628 | 247528969435377408.wav | Handicraft products might be defined as antiques, though they are younger than similar mass-produced goods. | handicraft products might be defined as antiques though they are younger than similar mass-produced goods | h a n d i c r a f t | p r o d u c t s | m i g h t | b e | d e f i n e d | a s | a n t i q u e s | t h o u g h | t h e y | a r e | y o u n g e r | t h a n | s i m i l a r | m a s s - p r o d u c e d | g o o d s | | 136,320 | MALE |
1,628 | 9078813348254504479.wav | Handicraft products might be defined as antiques, though they are younger than similar mass-produced goods. | handicraft products might be defined as antiques though they are younger than similar mass-produced goods | h a n d i c r a f t | p r o d u c t s | m i g h t | b e | d e f i n e d | a s | a n t i q u e s | t h o u g h | t h e y | a r e | y o u n g e r | t h a n | s i m i l a r | m a s s - p r o d u c e d | g o o d s | | 107,520 | FEMALE |
1,602 | 15006047853740326323.wav | Majorcan cuisine, like that of similar zones in the Mediterranean, is based on bread, vegetables and meat (specially pork), and uses olive oil throughout. | majorcan cuisine like that of similar zones in the mediterranean is based on bread vegetables and meat specially pork and uses olive oil throughout | m a j o r c a n | c u i s i n e | l i k e | t h a t | o f | s i m i l a r | z o n e s | i n | t h e | m e d i t e r r a n e a n | i s | b a s e d | o n | b r e a d | v e g e t a b l e s | a n d | m e a t | s p e c i a l l y | p o r k | a n d | u s e s | o l i v e | o i l | t h r o u g h o u t | | 168,960 | FEMALE |
1,602 | 95606678053409405.wav | Majorcan cuisine, like that of similar zones in the Mediterranean, is based on bread, vegetables and meat (specially pork), and uses olive oil throughout. | majorcan cuisine like that of similar zones in the mediterranean is based on bread vegetables and meat specially pork and uses olive oil throughout | m a j o r c a n | c u i s i n e | l i k e | t h a t | o f | s i m i l a r | z o n e s | i n | t h e | m e d i t e r r a n e a n | i s | b a s e d | o n | b r e a d | v e g e t a b l e s | a n d | m e a t | s p e c i a l l y | p o r k | a n d | u s e s | o l i v e | o i l | t h r o u g h o u t | | 221,120 | MALE |
1,602 | 4996448179547087187.wav | Majorcan cuisine, like that of similar zones in the Mediterranean, is based on bread, vegetables and meat (specially pork), and uses olive oil throughout. | majorcan cuisine like that of similar zones in the mediterranean is based on bread vegetables and meat specially pork and uses olive oil throughout | m a j o r c a n | c u i s i n e | l i k e | t h a t | o f | s i m i l a r | z o n e s | i n | t h e | m e d i t e r r a n e a n | i s | b a s e d | o n | b r e a d | v e g e t a b l e s | a n d | m e a t | s p e c i a l l y | p o r k | a n d | u s e s | o l i v e | o i l | t h r o u g h o u t | | 219,200 | MALE |
1,629 | 10630374883688952860.wav | Some reports put the official death toll at eight, and official reports confirm that up to 30 were injured; but final numbers are not yet known. | some reports put the official death toll at eight and official reports confirm that up to 30 were injured but final numbers are not yet known | s o m e | r e p o r t s | p u t | t h e | o f f i c i a l | d e a t h | t o l l | a t | e i g h t | a n d | o f f i c i a l | r e p o r t s | c o n f i r m | t h a t | u p | t o | 3 0 | w e r e | i n j u r e d | b u t | f i n a l | n u m b e r s | a r e | n o t | y e t | k n o w n | | 130,560 | FEMALE |
1,629 | 401178120420083523.wav | Some reports put the official death toll at eight, and official reports confirm that up to 30 were injured; but final numbers are not yet known. | some reports put the official death toll at eight and official reports confirm that up to 30 were injured but final numbers are not yet known | s o m e | r e p o r t s | p u t | t h e | o f f i c i a l | d e a t h | t o l l | a t | e i g h t | a n d | o f f i c i a l | r e p o r t s | c o n f i r m | t h a t | u p | t o | 3 0 | w e r e | i n j u r e d | b u t | f i n a l | n u m b e r s | a r e | n o t | y e t | k n o w n | | 140,160 | FEMALE |
1,629 | 10835833846156512763.wav | Some reports put the official death toll at eight, and official reports confirm that up to 30 were injured; but final numbers are not yet known. | some reports put the official death toll at eight and official reports confirm that up to 30 were injured but final numbers are not yet known | s o m e | r e p o r t s | p u t | t h e | o f f i c i a l | d e a t h | t o l l | a t | e i g h t | a n d | o f f i c i a l | r e p o r t s | c o n f i r m | t h a t | u p | t o | 3 0 | w e r e | i n j u r e d | b u t | f i n a l | n u m b e r s | a r e | n o t | y e t | k n o w n | | 128,640 | FEMALE |
1,569 | 6261800542187882882.wav | The Report opens with plea for open debate and the formation of a consensus in the United States about the policy towards the Middle East. | the report opens with plea for open debate and the formation of a consensus in the united states about the policy towards the middle east | t h e | r e p o r t | o p e n s | w i t h | p l e a | f o r | o p e n | d e b a t e | a n d | t h e | f o r m a t i o n | o f | a | c o n s e n s u s | i n | t h e | u n i t e d | s t a t e s | a b o u t | t h e | p o l i c y | t o w a r d s | t h e | m i d d l e | e a s t | | 123,840 | FEMALE |
1,569 | 6538398155791771629.wav | The Report opens with plea for open debate and the formation of a consensus in the United States about the policy towards the Middle East. | the report opens with plea for open debate and the formation of a consensus in the united states about the policy towards the middle east | t h e | r e p o r t | o p e n s | w i t h | p l e a | f o r | o p e n | d e b a t e | a n d | t h e | f o r m a t i o n | o f | a | c o n s e n s u s | i n | t h e | u n i t e d | s t a t e s | a b o u t | t h e | p o l i c y | t o w a r d s | t h e | m i d d l e | e a s t | | 116,160 | FEMALE |
1,569 | 6698602092091460070.wav | The Report opens with plea for open debate and the formation of a consensus in the United States about the policy towards the Middle East. | the report opens with plea for open debate and the formation of a consensus in the united states about the policy towards the middle east | t h e | r e p o r t | o p e n s | w i t h | p l e a | f o r | o p e n | d e b a t e | a n d | t h e | f o r m a t i o n | o f | a | c o n s e n s u s | i n | t h e | u n i t e d | s t a t e s | a b o u t | t h e | p o l i c y | t o w a r d s | t h e | m i d d l e | e a s t | | 154,560 | FEMALE |
1,555 | 6037648224035961543.wav | In the churchyard, there are interesting marble sculptures of doves over some tombs. | in the churchyard there are interesting marble sculptures of doves over some tombs | i n | t h e | c h u r c h y a r d | t h e r e | a r e | i n t e r e s t i n g | m a r b l e | s c u l p t u r e s | o f | d o v e s | o v e r | s o m e | t o m b s | | 152,640 | MALE |
1,555 | 1169013790597959793.wav | In the churchyard, there are interesting marble sculptures of doves over some tombs. | in the churchyard there are interesting marble sculptures of doves over some tombs | i n | t h e | c h u r c h y a r d | t h e r e | a r e | i n t e r e s t i n g | m a r b l e | s c u l p t u r e s | o f | d o v e s | o v e r | s o m e | t o m b s | | 88,320 | FEMALE |
1,555 | 5484291758150903027.wav | In the churchyard, there are interesting marble sculptures of doves over some tombs. | in the churchyard there are interesting marble sculptures of doves over some tombs | i n | t h e | c h u r c h y a r d | t h e r e | a r e | i n t e r e s t i n g | m a r b l e | s c u l p t u r e s | o f | d o v e s | o v e r | s o m e | t o m b s | | 122,880 | MALE |
1,610 | 4907562996880232007.wav | Such things have become separate disciplines, which focus on providing solutions to real life problems. | such things have become separate disciplines which focus on providing solutions to real life problems | s u c h | t h i n g s | h a v e | b e c o m e | s e p a r a t e | d i s c i p l i n e s | w h i c h | f o c u s | o n | p r o v i d i n g | s o l u t i o n s | t o | r e a l | l i f e | p r o b l e m s | | 134,400 | MALE |
1,610 | 5154139170448018903.wav | Such things have become separate disciplines, which focus on providing solutions to real life problems. | such things have become separate disciplines which focus on providing solutions to real life problems | s u c h | t h i n g s | h a v e | b e c o m e | s e p a r a t e | d i s c i p l i n e s | w h i c h | f o c u s | o n | p r o v i d i n g | s o l u t i o n s | t o | r e a l | l i f e | p r o b l e m s | | 150,720 | MALE |
1,651 | 7106146599552494469.wav | An increasingly more popular option for those planning a gap-year is to travel and learn. | an increasingly more popular option for those planning a gap-year is to travel and learn | a n | i n c r e a s i n g l y | m o r e | p o p u l a r | o p t i o n | f o r | t h o s e | p l a n n i n g | a | g a p - y e a r | i s | t o | t r a v e l | a n d | l e a r n | | 116,160 | MALE |
1,651 | 17034861753789241333.wav | An increasingly more popular option for those planning a gap-year is to travel and learn. | an increasingly more popular option for those planning a gap-year is to travel and learn | a n | i n c r e a s i n g l y | m o r e | p o p u l a r | o p t i o n | f o r | t h o s e | p l a n n i n g | a | g a p - y e a r | i s | t o | t r a v e l | a n d | l e a r n | | 140,800 | MALE |
1,577 | 14159306883861268418.wav | That didn't seem to make sense to me; it certainly wasn't fair. | that didn't seem to make sense to me it certainly wasn't fair | t h a t | d i d n ' t | s e e m | t o | m a k e | s e n s e | t o | m e | i t | c e r t a i n l y | w a s n ' t | f a i r | | 63,360 | FEMALE |
1,577 | 5682670818231670031.wav | That didn't seem to make sense to me; it certainly wasn't fair. | that didn't seem to make sense to me it certainly wasn't fair | t h a t | d i d n ' t | s e e m | t o | m a k e | s e n s e | t o | m e | i t | c e r t a i n l y | w a s n ' t | f a i r | | 97,920 | MALE |
1,577 | 5546513999592253497.wav | That didn't seem to make sense to me; it certainly wasn't fair. | that didn't seem to make sense to me it certainly wasn't fair | t h a t | d i d n ' t | s e e m | t o | m a k e | s e n s e | t o | m e | i t | c e r t a i n l y | w a s n ' t | f a i r | | 124,480 | MALE |
1,521 | 11909868287041540501.wav | The satellite in space gets the call and then reflects it back down, almost instantly. | the satellite in space gets the call and then reflects it back down almost instantly | t h e | s a t e l l i t e | i n | s p a c e | g e t s | t h e | c a l l | a n d | t h e n | r e f l e c t s | i t | b a c k | d o w n | a l m o s t | i n s t a n t l y | | 118,720 | MALE |
1,521 | 6632917622103590293.wav | The satellite in space gets the call and then reflects it back down, almost instantly. | the satellite in space gets the call and then reflects it back down almost instantly | t h e | s a t e l l i t e | i n | s p a c e | g e t s | t h e | c a l l | a n d | t h e n | r e f l e c t s | i t | b a c k | d o w n | a l m o s t | i n s t a n t l y | | 91,200 | FEMALE |
1,521 | 11840539862172308240.wav | The satellite in space gets the call and then reflects it back down, almost instantly. | the satellite in space gets the call and then reflects it back down almost instantly | t h e | s a t e l l i t e | i n | s p a c e | g e t s | t h e | c a l l | a n d | t h e n | r e f l e c t s | i t | b a c k | d o w n | a l m o s t | i n s t a n t l y | | 88,320 | FEMALE |
1,538 | 3414700157664963361.wav | The stretch between Point Marion and Fairmont presents the most challenging driving conditions on the Buffalo-Pittsburgh Highway, passing frequently through isolated backwoods terrain. | the stretch between point marion and fairmont presents the most challenging driving conditions on the buffalo-pittsburgh highway passing frequently through isolated backwoods terrain | t h e | s t r e t c h | b e t w e e n | p o i n t | m a r i o n | a n d | f a i r m o n t | p r e s e n t s | t h e | m o s t | c h a l l e n g i n g | d r i v i n g | c o n d i t i o n s | o n | t h e | b u f f a l o - p i t t s b u r g h | h i g h w a y | p a s s i n g | f r e q u e n t l y | t h r o u g h | i s o l ... | 156,480 | FEMALE |
1,538 | 1710986448546528638.wav | The stretch between Point Marion and Fairmont presents the most challenging driving conditions on the Buffalo-Pittsburgh Highway, passing frequently through isolated backwoods terrain. | the stretch between point marion and fairmont presents the most challenging driving conditions on the buffalo-pittsburgh highway passing frequently through isolated backwoods terrain | t h e | s t r e t c h | b e t w e e n | p o i n t | m a r i o n | a n d | f a i r m o n t | p r e s e n t s | t h e | m o s t | c h a l l e n g i n g | d r i v i n g | c o n d i t i o n s | o n | t h e | b u f f a l o - p i t t s b u r g h | h i g h w a y | p a s s i n g | f r e q u e n t l y | t h r o u g h | i s o l ... | 245,760 | MALE |
1,538 | 9830682929110784771.wav | The stretch between Point Marion and Fairmont presents the most challenging driving conditions on the Buffalo-Pittsburgh Highway, passing frequently through isolated backwoods terrain. | the stretch between point marion and fairmont presents the most challenging driving conditions on the buffalo-pittsburgh highway passing frequently through isolated backwoods terrain | t h e | s t r e t c h | b e t w e e n | p o i n t | m a r i o n | a n d | f a i r m o n t | p r e s e n t s | t h e | m o s t | c h a l l e n g i n g | d r i v i n g | c o n d i t i o n s | o n | t h e | b u f f a l o - p i t t s b u r g h | h i g h w a y | p a s s i n g | f r e q u e n t l y | t h r o u g h | i s o l ... | 178,560 | FEMALE |
1,540 | 6976486294626142871.wav | In principle the Tibetan Buddhism is very simple. It consists of Kundalini Yoga, meditation and the path of all-embracing love. | in principle the tibetan buddhism is very simple it consists of kundalini yoga meditation and the path of all-embracing love | i n | p r i n c i p l e | t h e | t i b e t a n | b u d d h i s m | i s | v e r y | s i m p l e | i t | c o n s i s t s | o f | k u n d a l i n i | y o g a | m e d i t a t i o n | a n d | t h e | p a t h | o f | a l l - e m b r a c i n g | l o v e | | 211,200 | MALE |
1,540 | 180913665597546887.wav | In principle the Tibetan Buddhism is very simple. It consists of Kundalini Yoga, meditation and the path of all-embracing love. | in principle the tibetan buddhism is very simple it consists of kundalini yoga meditation and the path of all-embracing love | i n | p r i n c i p l e | t h e | t i b e t a n | b u d d h i s m | i s | v e r y | s i m p l e | i t | c o n s i s t s | o f | k u n d a l i n i | y o g a | m e d i t a t i o n | a n d | t h e | p a t h | o f | a l l - e m b r a c i n g | l o v e | | 139,200 | FEMALE |
1,540 | 14372470203050390865.wav | In principle the Tibetan Buddhism is very simple. It consists of Kundalini Yoga, meditation and the path of all-embracing love. | in principle the tibetan buddhism is very simple it consists of kundalini yoga meditation and the path of all-embracing love | i n | p r i n c i p l e | t h e | t i b e t a n | b u d d h i s m | i s | v e r y | s i m p l e | i t | c o n s i s t s | o f | k u n d a l i n i | y o g a | m e d i t a t i o n | a n d | t h e | p a t h | o f | a l l - e m b r a c i n g | l o v e | | 209,280 | FEMALE |
1,518 | 3051387636483776445.wav | A former Filipino policeman has kept Hong Kong tourists hostage by hijacking their bus in Manila, the capital of the Philippines. | a former filipino policeman has kept hong kong tourists hostage by hijacking their bus in manila the capital of the philippines | a | f o r m e r | f i l i p i n o | p o l i c e m a n | h a s | k e p t | h o n g | k o n g | t o u r i s t s | h o s t a g e | b y | h i j a c k i n g | t h e i r | b u s | i n | m a n i l a | t h e | c a p i t a l | o f | t h e | p h i l i p p i n e s | | 128,640 | FEMALE |
1,518 | 10807778671969097912.wav | A former Filipino policeman has kept Hong Kong tourists hostage by hijacking their bus in Manila, the capital of the Philippines. | a former filipino policeman has kept hong kong tourists hostage by hijacking their bus in manila the capital of the philippines | a | f o r m e r | f i l i p i n o | p o l i c e m a n | h a s | k e p t | h o n g | k o n g | t o u r i s t s | h o s t a g e | b y | h i j a c k i n g | t h e i r | b u s | i n | m a n i l a | t h e | c a p i t a l | o f | t h e | p h i l i p p i n e s | | 188,160 | MALE |
1,518 | 3461458026427090500.wav | A former Filipino policeman has kept Hong Kong tourists hostage by hijacking their bus in Manila, the capital of the Philippines. | a former filipino policeman has kept hong kong tourists hostage by hijacking their bus in manila the capital of the philippines | a | f o r m e r | f i l i p i n o | p o l i c e m a n | h a s | k e p t | h o n g | k o n g | t o u r i s t s | h o s t a g e | b y | h i j a c k i n g | t h e i r | b u s | i n | m a n i l a | t h e | c a p i t a l | o f | t h e | p h i l i p p i n e s | | 180,800 | MALE |
1,621 | 4759598777756902999.wav | At the beginning dress was heavily influenced by the Byzantine culture in the east. | at the beginning dress was heavily influenced by the byzantine culture in the east | a t | t h e | b e g i n n i n g | d r e s s | w a s | h e a v i l y | i n f l u e n c e d | b y | t h e | b y z a n t i n e | c u l t u r e | i n | t h e | e a s t | | 104,000 | MALE |
1,621 | 545751939151471725.wav | At the beginning dress was heavily influenced by the Byzantine culture in the east. | at the beginning dress was heavily influenced by the byzantine culture in the east | a t | t h e | b e g i n n i n g | d r e s s | w a s | h e a v i l y | i n f l u e n c e d | b y | t h e | b y z a n t i n e | c u l t u r e | i n | t h e | e a s t | | 127,680 | FEMALE |
1,621 | 13708313266857391848.wav | At the beginning dress was heavily influenced by the Byzantine culture in the east. | at the beginning dress was heavily influenced by the byzantine culture in the east | a t | t h e | b e g i n n i n g | d r e s s | w a s | h e a v i l y | i n f l u e n c e d | b y | t h e | b y z a n t i n e | c u l t u r e | i n | t h e | e a s t | | 97,920 | FEMALE |
1,512 | 14943482914786149710.wav | This new environment has different resources and different competitors, so the new population will need different features or adaptations to be a strong competitor than what they had needed before. | this new environment has different resources and different competitors so the new population will need different features or adaptations to be a strong competitor than what they had needed before | t h i s | n e w | e n v i r o n m e n t | h a s | d i f f e r e n t | r e s o u r c e s | a n d | d i f f e r e n t | c o m p e t i t o r s | s o | t h e | n e w | p o p u l a t i o n | w i l l | n e e d | d i f f e r e n t | f e a t u r e s | o r | a d a p t a t i o n s | t o | b e | a | s t r o n g | c o m p e t i t ... | 172,800 | FEMALE |
1,512 | 7931741157330894890.wav | This new environment has different resources and different competitors, so the new population will need different features or adaptations to be a strong competitor than what they had needed before. | this new environment has different resources and different competitors so the new population will need different features or adaptations to be a strong competitor than what they had needed before | t h i s | n e w | e n v i r o n m e n t | h a s | d i f f e r e n t | r e s o u r c e s | a n d | d i f f e r e n t | c o m p e t i t o r s | s o | t h e | n e w | p o p u l a t i o n | w i l l | n e e d | d i f f e r e n t | f e a t u r e s | o r | a d a p t a t i o n s | t o | b e | a | s t r o n g | c o m p e t i t ... | 212,800 | MALE |
1,512 | 12949536968068093150.wav | This new environment has different resources and different competitors, so the new population will need different features or adaptations to be a strong competitor than what they had needed before. | this new environment has different resources and different competitors so the new population will need different features or adaptations to be a strong competitor than what they had needed before | t h i s | n e w | e n v i r o n m e n t | h a s | d i f f e r e n t | r e s o u r c e s | a n d | d i f f e r e n t | c o m p e t i t o r s | s o | t h e | n e w | p o p u l a t i o n | w i l l | n e e d | d i f f e r e n t | f e a t u r e s | o r | a d a p t a t i o n s | t o | b e | a | s t r o n g | c o m p e t i t ... | 170,880 | FEMALE |
1,535 | 17020026058488269738.wav | It uses satellite-based technology as opposed to older ground-radar-based technology to allow air traffic controllers to pinpoint aircraft with greater precision and give pilots more accurate information. | it uses satellite-based technology as opposed to older ground-radar-based technology to allow air traffic controllers to pinpoint aircraft with greater precision and give pilots more accurate information | i t | u s e s | s a t e l l i t e - b a s e d | t e c h n o l o g y | a s | o p p o s e d | t o | o l d e r | g r o u n d - r a d a r - b a s e d | t e c h n o l o g y | t o | a l l o w | a i r | t r a f f i c | c o n t r o l l e r s | t o | p i n p o i n t | a i r c r a f t | w i t h | g r e a t e r | p r e c i s i o ... | 290,880 | MALE |
1,535 | 16038225777468807850.wav | It uses satellite-based technology as opposed to older ground-radar-based technology to allow air traffic controllers to pinpoint aircraft with greater precision and give pilots more accurate information. | it uses satellite-based technology as opposed to older ground-radar-based technology to allow air traffic controllers to pinpoint aircraft with greater precision and give pilots more accurate information | i t | u s e s | s a t e l l i t e - b a s e d | t e c h n o l o g y | a s | o p p o s e d | t o | o l d e r | g r o u n d - r a d a r - b a s e d | t e c h n o l o g y | t o | a l l o w | a i r | t r a f f i c | c o n t r o l l e r s | t o | p i n p o i n t | a i r c r a f t | w i t h | g r e a t e r | p r e c i s i o ... | 252,480 | FEMALE |
1,535 | 11735220390648370461.wav | It uses satellite-based technology as opposed to older ground-radar-based technology to allow air traffic controllers to pinpoint aircraft with greater precision and give pilots more accurate information. | it uses satellite-based technology as opposed to older ground-radar-based technology to allow air traffic controllers to pinpoint aircraft with greater precision and give pilots more accurate information | i t | u s e s | s a t e l l i t e - b a s e d | t e c h n o l o g y | a s | o p p o s e d | t o | o l d e r | g r o u n d - r a d a r - b a s e d | t e c h n o l o g y | t o | a l l o w | a i r | t r a f f i c | c o n t r o l l e r s | t o | p i n p o i n t | a i r c r a f t | w i t h | g r e a t e r | p r e c i s i o ... | 194,880 | FEMALE |
1,652 | 10146705666908229607.wav | The major religion in Moldova is Orthodox Christian. | the major religion in moldova is orthodox christian | t h e | m a j o r | r e l i g i o n | i n | m o l d o v a | i s | o r t h o d o x | c h r i s t i a n | | 78,720 | FEMALE |
1,652 | 1200236179237667274.wav | The major religion in Moldova is Orthodox Christian. | the major religion in moldova is orthodox christian | t h e | m a j o r | r e l i g i o n | i n | m o l d o v a | i s | o r t h o d o x | c h r i s t i a n | | 96,320 | MALE |
1,533 | 13033938513680724611.wav | Many common formats (APS family of formats, for example) are equal to or closely approximate this aspect ratio. | many common formats aps family of formats for example are equal to or closely approximate this aspect ratio | m a n y | c o m m o n | f o r m a t s | a p s | f a m i l y | o f | f o r m a t s | f o r | e x a m p l e | a r e | e q u a l | t o | o r | c l o s e l y | a p p r o x i m a t e | t h i s | a s p e c t | r a t i o | | 163,200 | MALE |
1,533 | 15283888914714379993.wav | Many common formats (APS family of formats, for example) are equal to or closely approximate this aspect ratio. | many common formats aps family of formats for example are equal to or closely approximate this aspect ratio | m a n y | c o m m o n | f o r m a t s | a p s | f a m i l y | o f | f o r m a t s | f o r | e x a m p l e | a r e | e q u a l | t o | o r | c l o s e l y | a p p r o x i m a t e | t h i s | a s p e c t | r a t i o | | 149,760 | FEMALE |
1,533 | 16117297627352878831.wav | Many common formats (APS family of formats, for example) are equal to or closely approximate this aspect ratio. | many common formats aps family of formats for example are equal to or closely approximate this aspect ratio | m a n y | c o m m o n | f o r m a t s | a p s | f a m i l y | o f | f o r m a t s | f o r | e x a m p l e | a r e | e q u a l | t o | o r | c l o s e l y | a p p r o x i m a t e | t h i s | a s p e c t | r a t i o | | 196,160 | MALE |
1,633 | 10312254140358477897.wav | In this dynamic transport shuttle everyone is somehow connected with, and supporting, a transport system based on private cars. | in this dynamic transport shuttle everyone is somehow connected with and supporting a transport system based on private cars | i n | t h i s | d y n a m i c | t r a n s p o r t | s h u t t l e | e v e r y o n e | i s | s o m e h o w | c o n n e c t e d | w i t h | a n d | s u p p o r t i n g | a | t r a n s p o r t | s y s t e m | b a s e d | o n | p r i v a t e | c a r s | | 151,680 | FEMALE |
End of preview.
FLEURS English and Russian Speech Samples
This repository contains the English (en_us) and Russian (ru_ru) development-split transcript tables and audio archives from Google FLEURS. The archives are uploaded unchanged; this repository does not claim that the English and Russian utterances are aligned translation pairs.
Files
data/en_us/dev.tsvanddata/ru_ru/dev.tsv: source transcript metadata.data/en_us/audio/dev.tar.gzanddata/ru_ru/audio/dev.tar.gz: corresponding source audio archives.
Source, attribution, and license
Source: Google FLEURS, part of XTREME-S. FLEURS is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). This redistribution retains that license and attribution; it is not MIT-licensed.
Please cite the XTREME-S work: Conneau et al., XTREME-S: A Massively Multilingual Multi-task Benchmark for Speech Processing, arXiv:2205.12446 (2022).
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