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While running the notebook I'm stuck at the above mentioned error. The code is:
eval_examples = processor.get_dev_examples(args['data_dir'], size=args['val_size']) def eval(): ......
Error: FileNotFoundError Traceback (most recent call last) in 1 # Eval Fn ----> 2 eval_examples = processor.get_dev_examples(args['data_dir'], size=args['val_size']) 3 def eval(): 4 args['output_dir'].mkdir(exist_ok=True) 5
in get_dev_examples(self, data_dir, size) 22 filename = 'val.csv' 23 if size == -1: ---> 24 data_df = pd.read_csv(os.path.join(data_dir, filename)) 25 # data_df['comment_text'] = data_df['comment_text'].apply(cleanHtml) 26 return self._create_examples(data_df, "dev")
/anaconda/envs/py36/lib/python3.6/site-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, doublequote, delim_whitespace, low_memory, memory_map, float_precision) 676 skip_blank_lines=skip_blank_lines) 677 --> 678 return _read(filepath_or_buffer, kwds) 679 680 parser_f.name = name
/anaconda/envs/py36/lib/python3.6/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds) 438 439 # Create the parser. --> 440 parser = TextFileReader(filepath_or_buffer, **kwds) 441 442 if chunksize or iterator:
/anaconda/envs/py36/lib/python3.6/site-packages/pandas/io/parsers.py in init(self, f, engine, **kwds) 785 self.options['has_index_names'] = kwds['has_index_names'] 786 --> 787 self._make_engine(self.engine) 788 789 def close(self):
/anaconda/envs/py36/lib/python3.6/site-packages/pandas/io/parsers.py in _make_engine(self, engine) 1012 def _make_engine(self, engine='c'): 1013 if engine == 'c': -> 1014 self._engine = CParserWrapper(self.f, **self.options) 1015 else: 1016 if engine == 'python':
/anaconda/envs/py36/lib/python3.6/site-packages/pandas/io/parsers.py in init(self, src, **kwds) 1706 kwds['usecols'] = self.usecols 1707 -> 1708 self._reader = parsers.TextReader(src, **kwds) 1709 1710 passed_names = self.names is None
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.cinit()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()
FileNotFoundError: File b'kaggle_data/toxic_comments/tmp/val.csv' does not exist
The text was updated successfully, but these errors were encountered:
You can create a val file yourself, just split the train.csv file
Sorry, something went wrong.
Have not thought of that. Thx!
No branches or pull requests
While running the notebook I'm stuck at the above mentioned error. The code is:
Eval Fn
eval_examples = processor.get_dev_examples(args['data_dir'], size=args['val_size'])
def eval():
......
Error:
FileNotFoundError Traceback (most recent call last)
in
1 # Eval Fn
----> 2 eval_examples = processor.get_dev_examples(args['data_dir'], size=args['val_size'])
3 def eval():
4 args['output_dir'].mkdir(exist_ok=True)
5
in get_dev_examples(self, data_dir, size)
22 filename = 'val.csv'
23 if size == -1:
---> 24 data_df = pd.read_csv(os.path.join(data_dir, filename))
25 # data_df['comment_text'] = data_df['comment_text'].apply(cleanHtml)
26 return self._create_examples(data_df, "dev")
/anaconda/envs/py36/lib/python3.6/site-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, doublequote, delim_whitespace, low_memory, memory_map, float_precision)
676 skip_blank_lines=skip_blank_lines)
677
--> 678 return _read(filepath_or_buffer, kwds)
679
680 parser_f.name = name
/anaconda/envs/py36/lib/python3.6/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
438
439 # Create the parser.
--> 440 parser = TextFileReader(filepath_or_buffer, **kwds)
441
442 if chunksize or iterator:
/anaconda/envs/py36/lib/python3.6/site-packages/pandas/io/parsers.py in init(self, f, engine, **kwds)
785 self.options['has_index_names'] = kwds['has_index_names']
786
--> 787 self._make_engine(self.engine)
788
789 def close(self):
/anaconda/envs/py36/lib/python3.6/site-packages/pandas/io/parsers.py in _make_engine(self, engine)
1012 def _make_engine(self, engine='c'):
1013 if engine == 'c':
-> 1014 self._engine = CParserWrapper(self.f, **self.options)
1015 else:
1016 if engine == 'python':
/anaconda/envs/py36/lib/python3.6/site-packages/pandas/io/parsers.py in init(self, src, **kwds)
1706 kwds['usecols'] = self.usecols
1707
-> 1708 self._reader = parsers.TextReader(src, **kwds)
1709
1710 passed_names = self.names is None
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.cinit()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()
FileNotFoundError: File b'kaggle_data/toxic_comments/tmp/val.csv' does not exist
The text was updated successfully, but these errors were encountered: