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: ParserError
Message: Error tokenizing data. C error: Expected 5 fields in line 216, saw 7
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 328, 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 631, in get_rows_index
return RowsIndex(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 512, in __init__
self.parquet_index = self._init_parquet_index(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 529, in _init_parquet_index
response = get_previous_step_or_raise(
File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 566, 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 243, 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 2215, 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 1388, 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 194, 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 1841, in __next__
return self.get_chunk()
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1983, in get_chunk
return self.read(nrows=size)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1921, 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 2061, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 5 fields in line 216, saw 7Need help to make the dataset viewer work? Open a discussion for direct support.
EASIER_CORPUS
Repository for easier corpus. Represented by:
| TASK | # |
|---|---|
| Complex Words detected | 8155 |
| Suggested synonyms | 7892 |
Each line represents a sentence with one complex word annotation and relevant information, each separated by a TAB character.
FOR THE CWI DATASET:
- The first column shows the ID of the document.
- The second column shows the ID of the sentence for a certain word.
- The third column shows the sentence.
- The fourth and fifth column shows the offset of the target word.
- The sixth shows the target word.
- The seventh column shows the gold-standard label for the binary task.
FOR THE SG/SS DATASET:
- The first column shows the ID of the document.
- The second column shows the ID of the target word.
- The third column shows the target word.
- The fourth column shows the sentence.
- The fifth column shows the suggested synonyms for the target word separated by a comma.
AGREEMENT
We performed an agreement between the original annotator(1) and other two different annotators(2) (3).
COHEN´S KAPPA
| Annotators | Score |
|---|---|
| (1) (2) | 0.6094 |
| (1) (3) | 0.6422 |
| (2) (3) | 0.6739 |
FLEISS KAPPA
| Annotators | Score |
|---|---|
| (1) (2) (3) | 0.641 |
Please, if you use our corpus, remember to cite this paper:
REFERENCE:
Please, if you use our corpus, remember to cite this paper:
Alarcon R, Moreno L, Martínez P (2023) EASIER corpus: A lexical simplification resource for people with cognitive impairments. PLOS ONE 18(4): e0283622. https://doi.org/10.1371/journal.pone.0283622
DIFUSSION RIGHTS:
This corpus is under CC BY-NC-ND 4.0, https://creativecommons.org/licenses/by-nc-nd/4.0/ license.
Acknowledgments
- This work is part of the R&D&i ACCESS2MEET (PID2020-116527RB-I0) project financed by MCIN AEI/10.13039/501100011033/, and the "Intelligent and interactive home care system for the mitigation of the COVID-19 pandemic" project (PRTR-REACT UE) awarded by CAM. CONSEJERÍA DE EDUCACIÓN E INVESTIGACION.
- Downloads last month
- 2