Speech-to-Text dataset
Collection
Malay and Manglish / Singlish Speech-to-Text dataset, semisupervised from different models and services.
•
13 items
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Updated
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 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? 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
- part 1, 1117.9866586978865 hours
- part 2, 1052.1777120312486 hours
- part 3, 2162.4968734548597 hours
- part 4, 2133.685638097089 hours
- part 5, 2044.5220318402826 hours
- 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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