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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
_meta: struct<desc: string, source_parquet: string, clean_bin: string, n_overlap: int64, match_rule: string (... 133 chars omitted)
child 0, desc: string
child 1, source_parquet: string
child 2, clean_bin: string
child 3, n_overlap: int64
child 4, match_rule: string
child 5, embedded_eos_doc: struct<document_id: string, clean_ordinal: int64, note: string>
child 0, document_id: string
child 1, clean_ordinal: int64
child 2, note: string
child 6, bin_token_range: string
child 7, bin_byte_range: string
document_id: string
row: int64
clean_ordinal: int64
bin_token_start: int64
bin_token_end: int64
bin_byte_start: int64
bin_byte_end: int64
n_tokens: int64
task: string
generated: timestamp[s]
existing_corpus: struct<repo: string, train_tokens_bpe12k: int64, train_docs: int64, source: string, note: string, fi (... 91 chars omitted)
child 0, repo: string
child 1, train_tokens_bpe12k: int64
child 2, train_docs: int64
child 3, source: string
child 4, note: string
child 5, fineweb_edu_in_corpus_docs_scanned: int64
child 6, fineweb_edu_in_corpus_tokens_mixture_quota: int64
total_true_unique: struct<existing_tokens: int64, fineweb_new_tokens: int64, openstax_final_tokens_est: int64, TOTAL_to (... 148 chars omitted)
child 0, existing_tokens: int64
child 1, fineweb_new_tokens: int64
child 2, openstax_final_tokens_est: int64
child 3, TOTAL_tokens_est: int64
child 4, ge_5B: bool
child 5, margin_over_5B: int64
child 6, no_double_coun
...
ring
child 3, fineweb_match: string
child 4, device: string
fineweb_new: struct<source_parquet: string, en_parquet_total_docs: int64, decontam_dropped_docs: int64, clean_doc (... 324 chars omitted)
child 0, source_parquet: string
child 1, en_parquet_total_docs: int64
child 2, decontam_dropped_docs: int64
child 3, clean_docs: int64
child 4, overlap_docs: int64
child 5, overlap_rate_pct: double
child 6, overlap_signals: struct<head_sha1: int64, tail_sha1: int64, document_id: int64, note: string>
child 0, head_sha1: int64
child 1, tail_sha1: int64
child 2, document_id: int64
child 3, note: string
child 7, new_unique_docs: int64
child 8, clean_bin_total_tokens: int64
child 9, overlap_tokens_bpe12k: int64
child 10, new_unique_tokens_bpe12k: int64
child 11, new_tokens_derivation: string
child 12, interpretation: string
openstax: struct<pre_semantic_tokens_bpe12k: int64, pre_semantic_chunks: int64, semantic_gate: string, sample_ (... 243 chars omitted)
child 0, pre_semantic_tokens_bpe12k: int64
child 1, pre_semantic_chunks: int64
child 2, semantic_gate: string
child 3, sample_size_chunks: int64
child 4, sample_drops_ge_0.95: int64
child 5, sample_drop_rate_pct: double
child 6, wilson95_ci_pct: list<item: double>
child 0, item: double
child 7, est_drop_chunks_over_50630: int64
child 8, est_token_impact: int64
child 9, final_clean_tokens_bpe12k_EST: int64
child 10, status: string
child 11, note: string
to
{'task': Value('string'), 'generated': Value('timestamp[s]'), 'method': {'tokenizer': Value('string'), 'token_convention': Value('string'), 'normalize': Value('string'), 'fineweb_match': Value('string'), 'device': Value('string')}, 'existing_corpus': {'repo': Value('string'), 'train_tokens_bpe12k': Value('int64'), 'train_docs': Value('int64'), 'source': Value('string'), 'note': Value('string'), 'fineweb_edu_in_corpus_docs_scanned': Value('int64'), 'fineweb_edu_in_corpus_tokens_mixture_quota': Value('int64')}, 'fineweb_new': {'source_parquet': Value('string'), 'en_parquet_total_docs': Value('int64'), 'decontam_dropped_docs': Value('int64'), 'clean_docs': Value('int64'), 'overlap_docs': Value('int64'), 'overlap_rate_pct': Value('float64'), 'overlap_signals': {'head_sha1': Value('int64'), 'tail_sha1': Value('int64'), 'document_id': Value('int64'), 'note': Value('string')}, 'new_unique_docs': Value('int64'), 'clean_bin_total_tokens': Value('int64'), 'overlap_tokens_bpe12k': Value('int64'), 'new_unique_tokens_bpe12k': Value('int64'), 'new_tokens_derivation': Value('string'), 'interpretation': Value('string')}, 'openstax': {'pre_semantic_tokens_bpe12k': Value('int64'), 'pre_semantic_chunks': Value('int64'), 'semantic_gate': Value('string'), 'sample_size_chunks': Value('int64'), 'sample_drops_ge_0.95': Value('int64'), 'sample_drop_rate_pct': Value('float64'), 'wilson95_ci_pct': List(Value('float64')), 'est_drop_chunks_over_50630': Value('int64'), 'est_token_impact': Value('int64'), 'final_clean_tokens_bpe12k_EST': Value('int64'), 'status': Value('string'), 'note': Value('string')}, 'total_true_unique': {'existing_tokens': Value('int64'), 'fineweb_new_tokens': Value('int64'), 'openstax_final_tokens_est': Value('int64'), 'TOTAL_tokens_est': Value('int64'), 'ge_5B': Value('bool'), 'margin_over_5B': Value('int64'), 'no_double_count': Value('string'), 'if_existing_were_2.70B_placeholder': {'TOTAL': Value('int64'), 'ge_5B': Value('bool')}}, 'artifacts': {'overlap_docs': Value('string'), 'clean_bin': Value('string'), 'openstax_bin': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in 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/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
_meta: struct<desc: string, source_parquet: string, clean_bin: string, n_overlap: int64, match_rule: string (... 133 chars omitted)
child 0, desc: string
child 1, source_parquet: string
child 2, clean_bin: string
child 3, n_overlap: int64
child 4, match_rule: string
child 5, embedded_eos_doc: struct<document_id: string, clean_ordinal: int64, note: string>
child 0, document_id: string
child 1, clean_ordinal: int64
child 2, note: string
child 6, bin_token_range: string
child 7, bin_byte_range: string
document_id: string
row: int64
clean_ordinal: int64
bin_token_start: int64
bin_token_end: int64
bin_byte_start: int64
bin_byte_end: int64
n_tokens: int64
task: string
generated: timestamp[s]
existing_corpus: struct<repo: string, train_tokens_bpe12k: int64, train_docs: int64, source: string, note: string, fi (... 91 chars omitted)
child 0, repo: string
child 1, train_tokens_bpe12k: int64
child 2, train_docs: int64
child 3, source: string
child 4, note: string
child 5, fineweb_edu_in_corpus_docs_scanned: int64
child 6, fineweb_edu_in_corpus_tokens_mixture_quota: int64
total_true_unique: struct<existing_tokens: int64, fineweb_new_tokens: int64, openstax_final_tokens_est: int64, TOTAL_to (... 148 chars omitted)
child 0, existing_tokens: int64
child 1, fineweb_new_tokens: int64
child 2, openstax_final_tokens_est: int64
child 3, TOTAL_tokens_est: int64
child 4, ge_5B: bool
child 5, margin_over_5B: int64
child 6, no_double_coun
...
ring
child 3, fineweb_match: string
child 4, device: string
fineweb_new: struct<source_parquet: string, en_parquet_total_docs: int64, decontam_dropped_docs: int64, clean_doc (... 324 chars omitted)
child 0, source_parquet: string
child 1, en_parquet_total_docs: int64
child 2, decontam_dropped_docs: int64
child 3, clean_docs: int64
child 4, overlap_docs: int64
child 5, overlap_rate_pct: double
child 6, overlap_signals: struct<head_sha1: int64, tail_sha1: int64, document_id: int64, note: string>
child 0, head_sha1: int64
child 1, tail_sha1: int64
child 2, document_id: int64
child 3, note: string
child 7, new_unique_docs: int64
child 8, clean_bin_total_tokens: int64
child 9, overlap_tokens_bpe12k: int64
child 10, new_unique_tokens_bpe12k: int64
child 11, new_tokens_derivation: string
child 12, interpretation: string
openstax: struct<pre_semantic_tokens_bpe12k: int64, pre_semantic_chunks: int64, semantic_gate: string, sample_ (... 243 chars omitted)
child 0, pre_semantic_tokens_bpe12k: int64
child 1, pre_semantic_chunks: int64
child 2, semantic_gate: string
child 3, sample_size_chunks: int64
child 4, sample_drops_ge_0.95: int64
child 5, sample_drop_rate_pct: double
child 6, wilson95_ci_pct: list<item: double>
child 0, item: double
child 7, est_drop_chunks_over_50630: int64
child 8, est_token_impact: int64
child 9, final_clean_tokens_bpe12k_EST: int64
child 10, status: string
child 11, note: string
to
{'task': Value('string'), 'generated': Value('timestamp[s]'), 'method': {'tokenizer': Value('string'), 'token_convention': Value('string'), 'normalize': Value('string'), 'fineweb_match': Value('string'), 'device': Value('string')}, 'existing_corpus': {'repo': Value('string'), 'train_tokens_bpe12k': Value('int64'), 'train_docs': Value('int64'), 'source': Value('string'), 'note': Value('string'), 'fineweb_edu_in_corpus_docs_scanned': Value('int64'), 'fineweb_edu_in_corpus_tokens_mixture_quota': Value('int64')}, 'fineweb_new': {'source_parquet': Value('string'), 'en_parquet_total_docs': Value('int64'), 'decontam_dropped_docs': Value('int64'), 'clean_docs': Value('int64'), 'overlap_docs': Value('int64'), 'overlap_rate_pct': Value('float64'), 'overlap_signals': {'head_sha1': Value('int64'), 'tail_sha1': Value('int64'), 'document_id': Value('int64'), 'note': Value('string')}, 'new_unique_docs': Value('int64'), 'clean_bin_total_tokens': Value('int64'), 'overlap_tokens_bpe12k': Value('int64'), 'new_unique_tokens_bpe12k': Value('int64'), 'new_tokens_derivation': Value('string'), 'interpretation': Value('string')}, 'openstax': {'pre_semantic_tokens_bpe12k': Value('int64'), 'pre_semantic_chunks': Value('int64'), 'semantic_gate': Value('string'), 'sample_size_chunks': Value('int64'), 'sample_drops_ge_0.95': Value('int64'), 'sample_drop_rate_pct': Value('float64'), 'wilson95_ci_pct': List(Value('float64')), 'est_drop_chunks_over_50630': Value('int64'), 'est_token_impact': Value('int64'), 'final_clean_tokens_bpe12k_EST': Value('int64'), 'status': Value('string'), 'note': Value('string')}, 'total_true_unique': {'existing_tokens': Value('int64'), 'fineweb_new_tokens': Value('int64'), 'openstax_final_tokens_est': Value('int64'), 'TOTAL_tokens_est': Value('int64'), 'ge_5B': Value('bool'), 'margin_over_5B': Value('int64'), 'no_double_count': Value('string'), 'if_existing_were_2.70B_placeholder': {'TOTAL': Value('int64'), 'ge_5B': Value('bool')}}, 'artifacts': {'overlap_docs': Value('string'), 'clean_bin': Value('string'), 'openstax_bin': Value('string')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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