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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ParserError
Message:      Error tokenizing data. C error: Expected 3 fields in line 19, saw 8

Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 249, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/csv/csv.py", line 198, in _generate_tables
                  for batch_idx, df in enumerate(csv_file_reader):
                                       ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
                  return self.get_chunk()
                         ~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
                  return self.read(nrows=size)
                         ~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1923, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                      ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      nrows
                      ^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
                File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
              pandas.errors.ParserError: Error tokenizing data. C error: Expected 3 fields in line 19, saw 8

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ESL Grammar Error Patterns

Forty-five recurring grammar errors made by learners of English as a second language, each paired with the incorrect form, the corrected form, and the underlying rule. Twelve categories. The dataset is qualitative — it contains no measurements.

Columns

column meaning
error_id stable identifier (G001…)
category one of 12 error categories (article_misuse, preposition_errors, …)
l1_language_family first-language family the pattern is most associated with
error_pattern short description of the error
incorrect_example the erroneous sentence
correct_example the corrected sentence
rule_explanation the grammar rule that applies
frequency_rank editorial ordering only — see limitations

How it was checked

Verified 2026-07-31 by inspection. Because the file is qualitative there is nothing to recompute; what was checked instead is that a sample across categories reads correctly against standard English usage — article omission before singular count nouns, present perfect with yet/already, past participle after auxiliary have, gerund-taking vs infinitive-taking verbs. Those corrections and rule explanations are sound.

Limitations (read before citing)

  • frequency_rank is an editorial ordering, not a measured corpus frequency. No corpus study is cited and none was performed. Do not present it as data about how often learners actually make these errors, and do not quote it as a number.
  • One prescriptive caveat, recorded rather than smoothed over: row G021 marking "Did you eat yet?" incorrect in favour of "Have you eaten yet?" follows the traditional prescriptive rule and is defensible ESL pedagogy, but the simple past is standard in American English. Treat that row as style guidance, not an error.
  • l1_language_family indicates the family a pattern is most associated with, not that speakers of other families never make it.

Provenance

Compiled as an ESL teaching reference and verified by inspection 2026-07-31. The error/correction pairs and rule explanations are the usable content. This grammar-correction reference is maintained alongside the writing tool at belikenative.com.

Licence

Released under CC-BY-4.0. Attribution appreciated.

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