The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 9 new columns ({'tokenize_chinese_chars', 'clean_up_tokenization_spaces', 'never_split', 'strip_accents', 'added_tokens_decoder', 'do_basic_tokenize', 'tokenizer_class', 'model_max_length', 'do_lower_case'})

This happened while the json dataset builder was generating data using

hf://datasets/Alijeff1214/DILA_FRENCH_DATASET/tokenizer_config.json (at revision d1ce70d7216098c1f3d926d114a60ddd252d8e15)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              added_tokens_decoder: struct<0: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool, special: bool>, 100: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool, special: bool>, 101: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool, special: bool>, 102: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool, special: bool>, 103: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool, special: bool>>
                child 0, 0: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool, special: bool>
                    child 0, content: string
                    child 1, lstrip: bool
                    child 2, normalized: bool
                    child 3, rstrip: bool
                    child 4, single_word: bool
                    child 5, special: bool
                child 1, 100: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool, special: bool>
                    child 0, content: string
                    child 1, lstrip: bool
                    child 2, normalized: bool
                    child 3, rstrip: bool
                    child 4, single_word: bool
                    child 5, special: bool
                child 2, 101: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool, special: bool>
                    child 0, content: string
                    child 1, lstrip: bool
                    child 2, normalized: bool
                    child 3, rstrip: bool
                    child 4, single_word: bool
                    child 5, special: bool
                child 3, 102: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool, special: bool>
                    child 0, content: string
                    child 1, lstrip: bool
                    child 2, normalized: bool
                    child 3, rstrip: bool
                    child 4, single_word: bool
                    child 5, special: bool
                child 4, 103: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool, special: bool>
                    child 0, content: string
                    child 1, lstrip: bool
                    child 2, normalized: bool
                    child 3, rstrip: bool
                    child 4, single_word: bool
                    child 5, special: bool
              clean_up_tokenization_spaces: bool
              cls_token: string
              do_basic_tokenize: bool
              do_lower_case: bool
              mask_token: string
              model_max_length: int64
              never_split: null
              pad_token: string
              sep_token: string
              strip_accents: null
              tokenize_chinese_chars: bool
              tokenizer_class: string
              unk_token: string
              to
              {'cls_token': Value(dtype='string', id=None), 'mask_token': Value(dtype='string', id=None), 'pad_token': Value(dtype='string', id=None), 'sep_token': Value(dtype='string', id=None), 'unk_token': Value(dtype='string', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1577, 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 1191, 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 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 9 new columns ({'tokenize_chinese_chars', 'clean_up_tokenization_spaces', 'never_split', 'strip_accents', 'added_tokens_decoder', 'do_basic_tokenize', 'tokenizer_class', 'model_max_length', 'do_lower_case'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Alijeff1214/DILA_FRENCH_DATASET/tokenizer_config.json (at revision d1ce70d7216098c1f3d926d114a60ddd252d8e15)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Open a discussion for direct support.

cls_token
string
mask_token
string
pad_token
string
sep_token
string
unk_token
string
added_tokens_decoder
dict
clean_up_tokenization_spaces
bool
do_basic_tokenize
bool
do_lower_case
bool
model_max_length
int64
never_split
null
strip_accents
null
tokenize_chinese_chars
bool
tokenizer_class
string
[CLS]
[MASK]
[PAD]
[SEP]
[UNK]
null
null
null
null
null
null
null
null
null
[CLS]
[MASK]
[PAD]
[SEP]
[UNK]
{ "0": { "content": "[PAD]", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "100": { "content": "[UNK]", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "101": { "content": "[CLS]", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "102": { "content": "[SEP]", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "103": { "content": "[MASK]", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true } }
true
true
true
512
null
null
true
BertTokenizer