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Dec2Enc
/
ner

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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
words: list<item: string>
  child 0, item: string
ner: list<item: int64>
  child 0, item: int64
lang: string
-- schema metadata --
huggingface: '{"info": {"features": {"words": {"feature": {"dtype": "stri' + 250
to
{'tokens': List(Value('string')), 'tags': List(ClassLabel(names=['O', 'B-PER', 'I-PER', 'B-ORG', 'I-ORG', 'B-LOC', 'I-LOC', 'B-MISC', 'I-MISC'])), 'subset': Value('string'), 'input_ids': List(Value('int32')), 'attention_mask': List(Value('int8')), 'labels': List(Value('int64')), 'token_ids': List(Value('int64'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 76, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 59, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              words: list<item: string>
                child 0, item: string
              ner: list<item: int64>
                child 0, item: int64
              lang: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"words": {"feature": {"dtype": "stri' + 250
              to
              {'tokens': List(Value('string')), 'tags': List(ClassLabel(names=['O', 'B-PER', 'I-PER', 'B-ORG', 'I-ORG', 'B-LOC', 'I-LOC', 'B-MISC', 'I-MISC'])), 'subset': Value('string'), 'input_ids': List(Value('int32')), 'attention_mask': List(Value('int8')), 'labels': List(Value('int64')), 'token_ids': List(Value('int64'))}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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tokens
list
tags
list
subset
string
input_ids
list
attention_mask
list
labels
list
token_ids
list
[ "EU", "rejects", "German", "call", "to", "boycott", "British", "lamb", "." ]
[ 4, 0, 8, 0, 0, 0, 8, 0, 0 ]
en
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[ 0, 1, 2, 3, 4, 5, 6, 7, 8 ]
[ "Peter", "Blackburn" ]
[ 2, 2 ]
en
[ 36559, 88353 ]
[ 1, 1 ]
[ 2, 2 ]
[ 0, 1 ]
[ "BRUSSELS", "1996-08-22" ]
[ 6, 0 ]
en
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[ "The", "European", "Commission", "said", "on", "Thursday", "it", "disagreed", "with", "German", "advice", "to", "consumers", "to", "shun", "British", "lamb", "until", "scientists", "determine", "whether", "mad", "cow", "disease", "can", "be", "transmitted", "to", "sheep", "." ]
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en
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[ "Germany", "'s", "representative", "to", "the", "European", "Union", "'s", "veterinary", "committee", "Werner", "Zwingmann", "said", "on", "Wednesday", "consumers", "should", "buy", "sheepmeat", "from", "countries", "other", "than", "Britain", "until", "the", "scientific", "advice", "was", "clearer", "." ]
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en
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[ "\"", "We", "do", "n't", "support", "any", "such", "recommendation", "because", "we", "do", "n't", "see", "any", "grounds", "for", "it", ",", "\"", "the", "Commission", "'s", "chief", "spokesman", "Nikolaus", "van", "der", "Pas", "told", "a", "news", "briefing", "." ]
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en
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[ "He", "said", "further", "scientific", "study", "was", "required", "and", "if", "it", "was", "found", "that", "action", "was", "needed", "it", "should", "be", "taken", "by", "the", "European", "Union", "." ]
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en
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[ "Fischler", "proposed", "EU-wide", "measures", "after", "reports", "from", "Britain", "and", "France", "that", "under", "laboratory", "conditions", "sheep", "could", "contract", "Bovine", "Spongiform", "Encephalopathy", "(", "BSE", ")", "--", "mad", "cow", "disease", "." ]
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[ "Spanish", "Farm", "Minister", "Loyola", "de", "Palacio", "had", "earlier", "accused", "Fischler", "at", "an", "EU", "farm", "ministers", "'", "meeting", "of", "causing", "unjustified", "alarm", "through", "\"", "dangerous", "generalisation", ".", "\"" ]
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[ "." ]
[ 0 ]
en
[ 13 ]
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[ "Only", "France", "and", "Britain", "backed", "Fischler", "'s", "proposal", "." ]
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en
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en
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[ "Sheep", "have", "long", "been", "known", "to", "contract", "scrapie", ",", "a", "brain-wasting", "disease", "similar", "to", "BSE", "which", "is", "believed", "to", "have", "been", "transferred", "to", "cattle", "through", "feed", "containing", "animal", "waste", "." ]
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en
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en
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[ "\"", "What", "we", "have", "to", "be", "extremely", "careful", "of", "is", "how", "other", "countries", "are", "going", "to", "take", "Germany", "'s", "lead", ",", "\"", "Welsh", "National", "Farmers", "'", "Union", "(", "NFU", ")", "chairman", "John", "Lloyd", "Jones", "said", "on", "BBC", "radio", "." ]
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en
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