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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 2 missing columns ({'new_filename', 'id'})

This happened while the json dataset builder was generating data using

hf://datasets/mesolitica/IMDA-STT/imda-part6-1.jsonl (at revision 02b9a506be119b558338f907cc5f81ef39672200)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              filename: string
              text: string
              to
              {'id': Value(dtype='string', id=None), 'text': Value(dtype='string', id=None), 'filename': Value(dtype='string', id=None), 'new_filename': Value(dtype='string', id=None)}
              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 1316, in compute_config_parquet_and_info_response
                  parquet_operations, partial = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 2 missing columns ({'new_filename', 'id'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/mesolitica/IMDA-STT/imda-part6-1.jsonl (at revision 02b9a506be119b558338f907cc5f81ef39672200)
              
              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.

id
string
text
string
filename
string
new_filename
string
000010001
There were barrels of wine in the huge cellar.
part1-audio/SPEAKER0001/SESSION0/000010001.WAV
part1-mp3/000010001.mp3
000010002
She won a car because she was the twelfth person to call the radio station.
part1-audio/SPEAKER0001/SESSION0/000010002.WAV
part1-mp3/000010002.mp3
000010003
As they walked back, they were shocked to see a pack of stray dogs circling around the car.
part1-audio/SPEAKER0001/SESSION0/000010003.WAV
part1-mp3/000010003.mp3
000010005
Heavy rains caused a flood in the village.
part1-audio/SPEAKER0001/SESSION0/000010005.WAV
part1-mp3/000010005.mp3
000010006
He gulped down his beer.
part1-audio/SPEAKER0001/SESSION0/000010006.WAV
part1-mp3/000010006.mp3
000010007
Some people go to court to fight for their principles.
part1-audio/SPEAKER0001/SESSION0/000010007.WAV
part1-mp3/000010007.mp3
000010008
I get free snacks whenever I go to the supermarket.
part1-audio/SPEAKER0001/SESSION0/000010008.WAV
part1-mp3/000010008.mp3
000010009
Melissa passed her number to the young man.
part1-audio/SPEAKER0001/SESSION0/000010009.WAV
part1-mp3/000010009.mp3
000010010
The child divulged all his secrets to his best friend.
part1-audio/SPEAKER0001/SESSION0/000010010.WAV
part1-mp3/000010010.mp3
000010011
This kind of packaging can pose a danger to animals.
part1-audio/SPEAKER0001/SESSION0/000010011.WAV
part1-mp3/000010011.mp3
000010012
They tried to keep it a secret, but he was able to figure everything out.
part1-audio/SPEAKER0001/SESSION0/000010012.WAV
part1-mp3/000010012.mp3
000010013
The dwarf crafted a sharp sword and a tough shield for the knight.
part1-audio/SPEAKER0001/SESSION0/000010013.WAV
part1-mp3/000010013.mp3
000010014
My father fired the star worker.
part1-audio/SPEAKER0001/SESSION0/000010014.WAV
part1-mp3/000010014.mp3
000010015
Song sheets for xylophones are on the shelf to your right.
part1-audio/SPEAKER0001/SESSION0/000010015.WAV
part1-mp3/000010015.mp3
000010016
The watermelon has ripened.
part1-audio/SPEAKER0001/SESSION0/000010016.WAV
part1-mp3/000010016.mp3
000010018
These social reforms affect the economic sphere as well.
part1-audio/SPEAKER0001/SESSION0/000010018.WAV
part1-mp3/000010018.mp3
000010019
Some cuddling could cheer her up.
part1-audio/SPEAKER0001/SESSION0/000010019.WAV
part1-mp3/000010019.mp3
000010020
Women hope for skin that is soft to the touch.
part1-audio/SPEAKER0001/SESSION0/000010020.WAV
part1-mp3/000010020.mp3
000010022
He is a lightweight in alcohol.
part1-audio/SPEAKER0001/SESSION0/000010022.WAV
part1-mp3/000010022.mp3
000010023
The little girl played with her rabbit and geese in the yard.
part1-audio/SPEAKER0001/SESSION0/000010023.WAV
part1-mp3/000010023.mp3
000010024
We all knew that it was the calm before the storm.
part1-audio/SPEAKER0001/SESSION0/000010024.WAV
part1-mp3/000010024.mp3
000010025
It is not safe to freeze something again after it has thawed.
part1-audio/SPEAKER0001/SESSION0/000010025.WAV
part1-mp3/000010025.mp3
000010026
A pinch of salt is enough to make a veal stew tasty.
part1-audio/SPEAKER0001/SESSION0/000010026.WAV
part1-mp3/000010026.mp3
000010027
Hold your bat steady and focus your eyes on the ball.
part1-audio/SPEAKER0001/SESSION0/000010027.WAV
part1-mp3/000010027.mp3
000010028
After driving for ten years, her car is still in tip-top condition.
part1-audio/SPEAKER0001/SESSION0/000010028.WAV
part1-mp3/000010028.mp3
000010029
This is your last chance to join the lucky draw!
part1-audio/SPEAKER0001/SESSION0/000010029.WAV
part1-mp3/000010029.mp3
000010030
The couple went on an enriching adventure together.
part1-audio/SPEAKER0001/SESSION0/000010030.WAV
part1-mp3/000010030.mp3
000010031
He became very fit ever since his break-up last year.
part1-audio/SPEAKER0001/SESSION0/000010031.WAV
part1-mp3/000010031.mp3
000010034
I was so tired from work, I could not even bother to brush my teeth.
part1-audio/SPEAKER0001/SESSION0/000010034.WAV
part1-mp3/000010034.mp3
000010035
I had a casual chat with a reporter at the bar last night.
part1-audio/SPEAKER0001/SESSION0/000010035.WAV
part1-mp3/000010035.mp3
000010036
Just because I tolerated, he thought I was a fool.
part1-audio/SPEAKER0001/SESSION0/000010036.WAV
part1-mp3/000010036.mp3
000010037
The bench by the bank of the river is a hot viewing spot for tourists.
part1-audio/SPEAKER0001/SESSION0/000010037.WAV
part1-mp3/000010037.mp3
000010039
I was the third one to perform.
part1-audio/SPEAKER0001/SESSION0/000010039.WAV
part1-mp3/000010039.mp3
000010040
There was a switch in the venue for the football match.
part1-audio/SPEAKER0001/SESSION0/000010040.WAV
part1-mp3/000010040.mp3
000010042
The land's deed was sold to the old lady.
part1-audio/SPEAKER0001/SESSION0/000010042.WAV
part1-mp3/000010042.mp3
000010043
My winter jacket came with a detachable hood.
part1-audio/SPEAKER0001/SESSION0/000010043.WAV
part1-mp3/000010043.mp3
000010044
Let's dissect this problem part by part.
part1-audio/SPEAKER0001/SESSION0/000010044.WAV
part1-mp3/000010044.mp3
000010045
He did not have much, but he had a kind and loving heart.
part1-audio/SPEAKER0001/SESSION0/000010045.WAV
part1-mp3/000010045.mp3
000010046
There is a clog in the toilet pipe and the air vents at the zoo.
part1-audio/SPEAKER0001/SESSION0/000010046.WAV
part1-mp3/000010046.mp3
000010047
There's something about hotel beds that makes them extra cosy.
part1-audio/SPEAKER0001/SESSION0/000010047.WAV
part1-mp3/000010047.mp3
000010048
The earth's core is made of iron and nickel.
part1-audio/SPEAKER0001/SESSION0/000010048.WAV
part1-mp3/000010048.mp3
000010049
She scooped herself a big bowl of corn soup.
part1-audio/SPEAKER0001/SESSION0/000010049.WAV
part1-mp3/000010049.mp3
000010050
Our sports teams have achieved remarkable feats this year.
part1-audio/SPEAKER0001/SESSION0/000010050.WAV
part1-mp3/000010050.mp3
000010051
Suddenly, a gun shot was fired from a distance, which sent the dogs fleeing in an instant.
part1-audio/SPEAKER0001/SESSION0/000010051.WAV
part1-mp3/000010051.mp3
000010053
The workers braved through sun and rain every day just to build the tunnel.
part1-audio/SPEAKER0001/SESSION0/000010053.WAV
part1-mp3/000010053.mp3
000010054
The company charted their profits in a graph.
part1-audio/SPEAKER0001/SESSION0/000010054.WAV
part1-mp3/000010054.mp3
000010055
I live in Singapore.
part1-audio/SPEAKER0001/SESSION0/000010055.WAV
part1-mp3/000010055.mp3
000010056
I am craving for a chocolate sponge cake topped with mint mousse.
part1-audio/SPEAKER0001/SESSION0/000010056.WAV
part1-mp3/000010056.mp3
000010057
A comma can change the meaning of a sentence entirely.
part1-audio/SPEAKER0001/SESSION0/000010057.WAV
part1-mp3/000010057.mp3
000010058
The witch put a spell on the prince, but it was the wrong one.
part1-audio/SPEAKER0001/SESSION0/000010058.WAV
part1-mp3/000010058.mp3
000010059
When they woke up from their rest, it was already mid-afternoon.
part1-audio/SPEAKER0001/SESSION0/000010059.WAV
part1-mp3/000010059.mp3
000010061
A murder had already been plotted a month ago.
part1-audio/SPEAKER0001/SESSION0/000010061.WAV
part1-mp3/000010061.mp3
000010062
Mary and her family were moving to another city.
part1-audio/SPEAKER0001/SESSION0/000010062.WAV
part1-mp3/000010062.mp3
000010063
It is easy to book flights and hotels on the computer.
part1-audio/SPEAKER0001/SESSION0/000010063.WAV
part1-mp3/000010063.mp3
000010064
You can bake shortbread cookies just with sugar, butter, and flour.
part1-audio/SPEAKER0001/SESSION0/000010064.WAV
part1-mp3/000010064.mp3
000010065
The puppy left its paw prints on the sandy shore.
part1-audio/SPEAKER0001/SESSION0/000010065.WAV
part1-mp3/000010065.mp3
000010066
Switzerland's flag is a big plus.
part1-audio/SPEAKER0001/SESSION0/000010066.WAV
part1-mp3/000010066.mp3
000010067
The girl's experiences gave her an edge over her peers of the same age.
part1-audio/SPEAKER0001/SESSION0/000010067.WAV
part1-mp3/000010067.mp3
000010068
The children wipe their noses on the towel.
part1-audio/SPEAKER0001/SESSION0/000010068.WAV
part1-mp3/000010068.mp3
000010071
Finish this by tomorrow or else you'll be fired!
part1-audio/SPEAKER0001/SESSION0/000010071.WAV
part1-mp3/000010071.mp3
000010072
Soon, the menacing pack began to approach the poor outnumbered family.
part1-audio/SPEAKER0001/SESSION0/000010072.WAV
part1-mp3/000010072.mp3
000010073
His moustache curl is perfect.
part1-audio/SPEAKER0001/SESSION0/000010073.WAV
part1-mp3/000010073.mp3
000010074
It was a miracle that he recovered from his life-threatening accident.
part1-audio/SPEAKER0001/SESSION0/000010074.WAV
part1-mp3/000010074.mp3
000010075
The veteran fought to protect his country during the war.
part1-audio/SPEAKER0001/SESSION0/000010075.WAV
part1-mp3/000010075.mp3
000010077
She is a deep sleeper.
part1-audio/SPEAKER0001/SESSION0/000010077.WAV
part1-mp3/000010077.mp3
000010078
They fed their hungry stomachs with the egg and ham sandwiches that Mary's mother had made.
part1-audio/SPEAKER0001/SESSION0/000010078.WAV
part1-mp3/000010078.mp3
000010079
The new movie about food promises a visual feast.
part1-audio/SPEAKER0001/SESSION0/000010079.WAV
part1-mp3/000010079.mp3
000010080
Please pass your exam once and for all.
part1-audio/SPEAKER0001/SESSION0/000010080.WAV
part1-mp3/000010080.mp3
000010081
Afraid of getting bitten, Mary hid behind her father and screamed, while he threw rocks in an attempt to scare them away.
part1-audio/SPEAKER0001/SESSION0/000010081.WAV
part1-mp3/000010081.mp3
000010082
There are pumps for your tyres at the resting zone before you cycle.
part1-audio/SPEAKER0001/SESSION0/000010082.WAV
part1-mp3/000010082.mp3
000010083
The nurse folded a paper jib for the little boy's yacht model.
part1-audio/SPEAKER0001/SESSION0/000010083.WAV
part1-mp3/000010083.mp3
000010084
Rising college debt has been a widely discussed matter.
part1-audio/SPEAKER0001/SESSION0/000010084.WAV
part1-mp3/000010084.mp3
000010085
The British calls fries, chips, and chips, crisps.
part1-audio/SPEAKER0001/SESSION0/000010085.WAV
part1-mp3/000010085.mp3
000010086
He hurt himself while slicing the meat.
part1-audio/SPEAKER0001/SESSION0/000010086.WAV
part1-mp3/000010086.mp3
000010087
A smile can often lift up a weary spirit.
part1-audio/SPEAKER0001/SESSION0/000010087.WAV
part1-mp3/000010087.mp3
000010089
His grief had become his driving force in his career.
part1-audio/SPEAKER0001/SESSION0/000010089.WAV
part1-mp3/000010089.mp3
000010091
Before the internet, we wrote letters to our pen pals and read magazines.
part1-audio/SPEAKER0001/SESSION0/000010091.WAV
part1-mp3/000010091.mp3
000010092
The charity run was held on a Tuesday.
part1-audio/SPEAKER0001/SESSION0/000010092.WAV
part1-mp3/000010092.mp3
000010094
When they reached, they saw a huge tree and sat beneath the foliage.
part1-audio/SPEAKER0001/SESSION0/000010094.WAV
part1-mp3/000010094.mp3
000010095
Sakura flowers bloom around April.
part1-audio/SPEAKER0001/SESSION0/000010095.WAV
part1-mp3/000010095.mp3
000010096
A diamond is not a woman's best friend.
part1-audio/SPEAKER0001/SESSION0/000010096.WAV
part1-mp3/000010096.mp3
000010097
Everyone's hoping to find the cure for cancer.
part1-audio/SPEAKER0001/SESSION0/000010097.WAV
part1-mp3/000010097.mp3
000010098
The fly was caught in the spider's web.
part1-audio/SPEAKER0001/SESSION0/000010098.WAV
part1-mp3/000010098.mp3
000010100
The little boy shared his tomato with his brother.
part1-audio/SPEAKER0001/SESSION0/000010100.WAV
part1-mp3/000010100.mp3
000010101
Households with targets set were encouraged to try keeping their water consumption below these designated levels.
part1-audio/SPEAKER0001/SESSION0/000010101.WAV
part1-mp3/000010101.mp3
000010102
Such a buyout would also add to Apple's services muscle.
part1-audio/SPEAKER0001/SESSION0/000010102.WAV
part1-mp3/000010102.mp3
000010103
But the cost of rebuilding with the money provided is beyond many families.
part1-audio/SPEAKER0001/SESSION0/000010103.WAV
part1-mp3/000010103.mp3
000010104
He also told his three children, two sons and a daughter, that he had reasons for killing their mother.
part1-audio/SPEAKER0001/SESSION0/000010104.WAV
part1-mp3/000010104.mp3
000010105
And while growth will be slower this year, it will still be positive.
part1-audio/SPEAKER0001/SESSION0/000010105.WAV
part1-mp3/000010105.mp3
000010106
Asked if her fame has helped her barber business, Wang is quick to give her friend Way the credit.
part1-audio/SPEAKER0001/SESSION0/000010106.WAV
part1-mp3/000010106.mp3
000010108
A shift in mindset needs to happen so that the park connectors can be properly utilised.
part1-audio/SPEAKER0001/SESSION0/000010108.WAV
part1-mp3/000010108.mp3
000010109
As part of the programme, patients submit their readings regularly from home.
part1-audio/SPEAKER0001/SESSION0/000010109.WAV
part1-mp3/000010109.mp3
000010110
And no matter how heinous the crime, his feelings about ensuring everyone gets their day in court has not changed.
part1-audio/SPEAKER0001/SESSION0/000010110.WAV
part1-mp3/000010110.mp3
000010111
That the relationships built up amongst each other as well as with local Singaporean community is something which they treasure.
part1-audio/SPEAKER0001/SESSION0/000010111.WAV
part1-mp3/000010111.mp3
000010112
Other features include a naturalised stream that will channel the used water from the pool into a drainage system.
part1-audio/SPEAKER0001/SESSION0/000010112.WAV
part1-mp3/000010112.mp3
000010113
If students do not meet standards, they were graded incomplete, rather than given a fail grade.
part1-audio/SPEAKER0001/SESSION0/000010113.WAV
part1-mp3/000010113.mp3
000010114
Because if every Singaporean has one, he has a vested interest in the stability and prosperity of this place.
part1-audio/SPEAKER0001/SESSION0/000010114.WAV
part1-mp3/000010114.mp3
000010115
A huge project calls for huge machinery.
part1-audio/SPEAKER0001/SESSION0/000010115.WAV
part1-mp3/000010115.mp3
000010116
Advertising and promotion of fruit machines outside the rooms will also be banned.
part1-audio/SPEAKER0001/SESSION0/000010116.WAV
part1-mp3/000010116.mp3
000010117
Bring with them a wealth of experience.
part1-audio/SPEAKER0001/SESSION0/000010117.WAV
part1-mp3/000010117.mp3
End of preview.

IMDA National Speech Corpus (NSC) Speech-to-Text

Originally from https://www.imda.gov.sg/how-we-can-help/national-speech-corpus, this repository simply a mirror. This dataset associated with Singapore Open Data Licence, https://www.sla.gov.sg/newsroom/statistics/singapore-open-data-licence

We uploaded mp3 files and compressed using 7z,

7za x part1-mp3.7z.001

All notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/speech-to-text/imda

total lengths

  1. part 1, 1117.9866586978865 hours
  2. part 2, 1052.1777120312486 hours
  3. part 3, 2162.4968734548597 hours
  4. part 4, 2133.685638097089 hours
  5. part 5, 2044.5220318402826 hours
  6. part 6, 2148.2834793402703 hours

Why no HuggingFace dataset format?

We had bad experiences with HuggingFace dataset format to load huge dataset. Reading mp3 files during iteration is much more faster and efficient.

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