Speech-to-Text dataset
Collection
Malay and Manglish / Singlish Speech-to-Text dataset, semisupervised from different models and services.
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19 items
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Updated
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1
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)
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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 |
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
We had bad experiences with HuggingFace dataset format to load huge dataset. Reading mp3 files during iteration is much more faster and efficient.