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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0xc2 in position 70501: invalid continuation byte
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute
                  compute_first_rows_from_parquet_response(
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 88, in compute_first_rows_from_parquet_response
                  rows_index = indexer.get_rows_index(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 640, in get_rows_index
                  return RowsIndex(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 521, in __init__
                  self.parquet_index = self._init_parquet_index(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 538, in _init_parquet_index
                  response = get_previous_step_or_raise(
                File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 591, in get_previous_step_or_raise
                  raise CachedArtifactError(
              libcommon.simple_cache.CachedArtifactError: The previous step failed.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head
                  return _examples_to_batch(list(self.take(n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
                  yield from islice(self.ex_iterable, self.n)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                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 0xc2 in position 70501: invalid continuation byte

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Data

Data is scrapped from Facebook, Twitter, KLSE Screener & Lowyat and labelled by local Malaysians.

Label Definition & Statistics

Label Coverage Example Count (%) Unique Count (%)
eng English words, including misspelled words kipidap, lol, 50cents 19,519 (42.00%) 3887 (36.53%)
msa Malay words, including shorthands, typos, regional dialects, Indonesian and adapted Arabic words (found in DBP’s online dictionary ), but not indigenous languages like Kadazan-Dusun or Iban. Bole, xpe, camni, Allahyarham, kah 8746 (18.82%) 2501 (23.50%)
zho Chinese character 5,988 (12.88%) 1920 (18.04%)
tam Tamil characters 10 (0.02%) 10 (0.10%)
mix Mix language or grammar in 1 word slowkan 17 (0.04%) 16 (0.15%)
rzho Mandarin words phonetically typed using roman characters hen hao xiao 12 (0.03%) 9 (0.09%)
ryue Cantonese words phonetically typed using roman characters sohai, sai lang 25 (0.05%) 16 (0.15%)
rnan Hokkien words phonetically typed using roman characters kaw kaw, huat ah 24 (0.05%) 20 (0.19%)
rtam Tamil words phonetically typed using roman characters nee solredum vastevumdan 7 (0.02%) 7 (0.07%)
ne (i) Proper Nouns typed in roman characters, (ii) Universal words which do not indicate specific language (food from other nations), (iii) masked named entity e.g. <stock>, <user> MACC, SPRM, Singapura, WhatsApp, bento 3120 (6.71%) 973 (9.14%)
fw Known foreign language words (e.g. Arabic, Hindi, Kadazan-Dusun, Bidayuh) oppa, Allahummargh-firlaha 657 (1.41%) 412 (3.87%)
amb Ambiguous between >1 languages (e.g. shared words used in a Malay-English code-mixed sentence) Hospital, bonus 18 (0.04%) 18 (0.17%)
univ (i) Interjection words that is universal across languages, (ii) Symbols, emojis and emoticons, (iii) masked items <tag>, <url>, <emoji>, (iv) numbers and universal units RM20, 200km, 6am, Wa, lah, ohhh, aiya, meh, leh, .,?! =) >.< 8223 (17.69%) 757 (7.11%)
unk Unknown language skalskks, Aosgxbsuwu 107 (0.23%) 96 (0.90%)
Total 46,473 10,642
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