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The dataset generation failed
Error code: DatasetGenerationError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0xe9 in position 57264: invalid continuation byte
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1995, in _prepare_split_single
for _, table in generator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 195, in _generate_tables
for batch_idx, df in enumerate(csv_file_reader):
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
return self.get_chunk()
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
return self.read(nrows=size)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1923, in read
) = self._engine.read( # type: ignore[attr-defined]
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
chunks = self._reader.read_low_memory(nrows)
File "parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
File "parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
File "parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "parsers.pyx", line 2053, in pandas._libs.parsers.raise_parser_error
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe9 in position 57264: invalid continuation byte
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1154, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
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 2038, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
text
string | Sentiments
string |
|---|---|
game hurt | negative |
sexuality shouldnt grouping category make different othet ppl imo fit definition grouping | negative |
right dont care fuck em | neutral |
man love reddit | positive |
name nowhere near falcon | neutral |
right considering important document know damned thing backwards forward thanks help | positive |
isnt big he still quite popular ive heard thing content never watched much | negative |
thats crazy went super religion high school think remember girl entire year became teen mom | positive |
thats adorable asf | positive |
sponge blurb pub quaw haha gurr ha aaa finale real | positive |
wanted downvote fault homie | negative |
odd | negative |
build wall jk | neutral |
appreciate thats good know hope ill apply knowledge one day | positive |
one time stopped right st able get good photo platform since light along | neutral |
well id say pretty good chance girl lol | positive |
pretty much every punjabi dude ive met | positive |
extra measure tape right crotch cant take sexual assault reason | negative |
video doesnt even show shoe wearing | neutral |
clemson give pride sticker snap played | negative |
may die sacrifice im willing make | positive |
im wondering ive missing thank | positive |
definitely fit rboneappletea | neutral |
seeeee one coloureds | positive |
yup anymore keep blood sugar really help drink water | positive |
lot play store apple store vpn nord good | positive |
happy name sad he imagine team name instead name ugh | negative |
name saying sorta disappointing | neutral |
something something something space aid | neutral |
dark funny really nice guy yet call dead girl whore declining sleep | negative |
ive probably put couple hundred mile space saver tire still right | neutral |
im glad he okay im even gladder gif guy skiparachuting mountain | positive |
nice ill try one | positive |
cant stand name especially since tatooing face video | negative |
came home fuck lineup love name mad bastard | positive |
go troll elsewhere woman need support crass question | negative |
rumor online likely wont happen | negative |
na rediting post sorry ignorance | negative |
content creator dont deserve paid second spent listening ad valuable | negative |
pity decent lunch never went night | negative |
far coolest thing ive seen thread yet | positive |
cureall since dont thing next best option | negative |
there pattern yes | positive |
name similar role end year way taking especially sony | neutral |
oh whoop misread original comment | negative |
sending love strength vibe | positive |
shes like kewpie doll precious | positive |
knowing one thing | negative |
thanks info mate gon na watch next time | positive |
name cheaper would kept name would extend mil | neutral |
honestly point dont think there anything make feel better maybe road right nothing helping | negative |
repercussion judge right considering crime bail seems incredibly low | negative |
good old guardian refusing accept name stauncly antieu antibrussels | negative |
dont even try make shot like got ta watch people make | negative |
first time couple year | positive |
got ta protectem | positive |
ironic could save others secrecyenabled corruption | positive |
guy basically referee parliament right like rest thats questionable | neutral |
oi u cancer dont want either respectfully pas birthday april | negative |
oh dare discus disgustingly unhealthy dangerous lifestyle pursue | negative |
totally make le funny person like never seen laughed | positive |
thanks effort | positive |
damn thats profound graduate harvard | positive |
nice ill look around thanks | positive |
press fucken charge moment use info | negative |
love woman | positive |
give snowman broom feel like thats thing people | negative |
service made year ago yeah ikr year ago | positive |
loved name feel like everyone office family relationship name cute innocent | positive |
im sorry game really isnt progression like would ruin base game | negative |
exactly volunteer ira | positive |
intp cared deadline got good crunch time working last minute | negative |
dm say im sorry | neutral |
call liar sick reference | negative |
shut yearold | negative |
doesnt matter pick someone pick never good | negative |
feel since im using gamethreads let frustration realistically know need keep patient rerebuild | neutral |
got shirt made say cant kid dog allergic | positive |
thought good guy one sick bastard thats sure | positive |
kinda cute | positive |
life hack didnt know needed life | neutral |
best side quest ever | positive |
calm | negative |
wanted know there another like meaning whole selfie thing liked | positive |
youre wrong nba initialism cant pronounced word oh man love reddit | negative |
wait wait false promise wait mandatory prompt wait empty gesture | neutral |
started feeling smug short shower remembered small water heater | positive |
didnt like family ending liked atlantis ending especially know going see dlc | positive |
agree keep trying rejected every time im sorry done | positive |
dead tragic drowning accident asking friend | negative |
claim best shooter overall best shooter | positive |
thats professor name savage | negative |
let go dragged | positive |
getting kinsler happy | positive |
course lie cheat steal make self relevant public horrible person | negative |
want connect alright wallet | neutral |
thats make smallest payment possible need float payment work | positive |
name name dont try tell defend | neutral |
ready experience cane hockey | positive |
mean thats stupid rule creates echo chamber dont see belongs | negative |
End of preview.
Data Collection
The sentiment data used in this project was collected manually. The dataset, stored in an Excel file (Sentiment.xlsx), includes text samples with corresponding sentiment labels. Details about the manual data collection process, sources, and criteria are explained in the data collection section of the code.
Data Cleaning
Before training the sentiment analysis model, the collected data undergoes a cleaning process. The clean_text function is applied to each text sample, which includes tasks such as lowercasing, HTML tag removal, punctuation removal, and lemmatization. The cleaned data is then used for model training.
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