Dolma3 — Source Corpus + Manifest
Collection
Dolma3 6T source corpus, dedup state, and unified per-doc manifests for the attribution project. • 7 items • Updated
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
mode: string
completed_shards_discovered: int64
written_shards: int64
listing_seconds: double
total_seconds: double
chunk_size: null
chunk_count: null
pool_shards: int64
nonpool_shards: int64
sources: struct<common_crawl: struct<shards_available: int64, shards_sampled: int64, total_docs_sampled: int6 (... 738 chars omitted)
child 0, common_crawl: struct<shards_available: int64, shards_sampled: int64, total_docs_sampled: int64, has_soc127_metadat (... 160 chars omitted)
child 0, shards_available: int64
child 1, shards_sampled: int64
child 2, total_docs_sampled: int64
child 3, has_soc127_metadata: int64
child 4, has_url: int64
child 5, text_length_stats: struct<min: int64, max: int64, median: int64, mean: double>
child 0, min: int64
child 1, max: int64
child 2, median: int64
child 3, mean: double
child 6, soc127_coverage_pct: double
child 7, url_coverage_pct: double
child 1, olmocr_science_pdfs: struct<shards_available: int64, shards_sampled: int64, total_docs_sampled: int64, has_soc127_metadat (... 160 chars omitted)
child 0, shards_available: int64
child 1, shards_sampled: int64
child 2, total_docs_sampled: int64
child 3, has_soc127_metadata: int64
child 4, has_url: int64
child 5, text_length_stats: struct<min: int64, max: int64, median: int64, mean: double>
child 0, min: int64
child 1, max: int64
child 2, median: int64
child 3, mean: double
child 6, soc127_coverage_pct: double
child 7, url_coverage_pct: double
child 2, stack_edu: struct<shards_available: int64, shards_sampled: int64, total_docs_sampled: int64, has_soc127_metadat (... 160 chars omitted)
child 0, shards_available: int64
child 1, shards_sampled: int64
child 2, total_docs_sampled: int64
child 3, has_soc127_metadata: int64
child 4, has_url: int64
child 5, text_length_stats: struct<min: int64, max: int64, median: int64, mean: double>
child 0, min: int64
child 1, max: int64
child 2, median: int64
child 3, mean: double
child 6, soc127_coverage_pct: double
child 7, url_coverage_pct: double
total_shards: int64
total_source_families: int64
to
{'sources': {'common_crawl': {'shards_available': Value('int64'), 'shards_sampled': Value('int64'), 'total_docs_sampled': Value('int64'), 'has_soc127_metadata': Value('int64'), 'has_url': Value('int64'), 'text_length_stats': {'min': Value('int64'), 'max': Value('int64'), 'median': Value('int64'), 'mean': Value('float64')}, 'soc127_coverage_pct': Value('float64'), 'url_coverage_pct': Value('float64')}, 'olmocr_science_pdfs': {'shards_available': Value('int64'), 'shards_sampled': Value('int64'), 'total_docs_sampled': Value('int64'), 'has_soc127_metadata': Value('int64'), 'has_url': Value('int64'), 'text_length_stats': {'min': Value('int64'), 'max': Value('int64'), 'median': Value('int64'), 'mean': Value('float64')}, 'soc127_coverage_pct': Value('float64'), 'url_coverage_pct': Value('float64')}, 'stack_edu': {'shards_available': Value('int64'), 'shards_sampled': Value('int64'), 'total_docs_sampled': Value('int64'), 'has_soc127_metadata': Value('int64'), 'has_url': Value('int64'), 'text_length_stats': {'min': Value('int64'), 'max': Value('int64'), 'median': Value('int64'), 'mean': Value('float64')}, 'soc127_coverage_pct': Value('float64'), 'url_coverage_pct': Value('float64')}}, 'total_source_families': Value('int64'), 'total_shards': Value('int64'), 'pool_shards': Value('int64'), 'nonpool_shards': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
mode: string
completed_shards_discovered: int64
written_shards: int64
listing_seconds: double
total_seconds: double
chunk_size: null
chunk_count: null
pool_shards: int64
nonpool_shards: int64
sources: struct<common_crawl: struct<shards_available: int64, shards_sampled: int64, total_docs_sampled: int6 (... 738 chars omitted)
child 0, common_crawl: struct<shards_available: int64, shards_sampled: int64, total_docs_sampled: int64, has_soc127_metadat (... 160 chars omitted)
child 0, shards_available: int64
child 1, shards_sampled: int64
child 2, total_docs_sampled: int64
child 3, has_soc127_metadata: int64
child 4, has_url: int64
child 5, text_length_stats: struct<min: int64, max: int64, median: int64, mean: double>
child 0, min: int64
child 1, max: int64
child 2, median: int64
child 3, mean: double
child 6, soc127_coverage_pct: double
child 7, url_coverage_pct: double
child 1, olmocr_science_pdfs: struct<shards_available: int64, shards_sampled: int64, total_docs_sampled: int64, has_soc127_metadat (... 160 chars omitted)
child 0, shards_available: int64
child 1, shards_sampled: int64
child 2, total_docs_sampled: int64
child 3, has_soc127_metadata: int64
child 4, has_url: int64
child 5, text_length_stats: struct<min: int64, max: int64, median: int64, mean: double>
child 0, min: int64
child 1, max: int64
child 2, median: int64
child 3, mean: double
child 6, soc127_coverage_pct: double
child 7, url_coverage_pct: double
child 2, stack_edu: struct<shards_available: int64, shards_sampled: int64, total_docs_sampled: int64, has_soc127_metadat (... 160 chars omitted)
child 0, shards_available: int64
child 1, shards_sampled: int64
child 2, total_docs_sampled: int64
child 3, has_soc127_metadata: int64
child 4, has_url: int64
child 5, text_length_stats: struct<min: int64, max: int64, median: int64, mean: double>
child 0, min: int64
child 1, max: int64
child 2, median: int64
child 3, mean: double
child 6, soc127_coverage_pct: double
child 7, url_coverage_pct: double
total_shards: int64
total_source_families: int64
to
{'sources': {'common_crawl': {'shards_available': Value('int64'), 'shards_sampled': Value('int64'), 'total_docs_sampled': Value('int64'), 'has_soc127_metadata': Value('int64'), 'has_url': Value('int64'), 'text_length_stats': {'min': Value('int64'), 'max': Value('int64'), 'median': Value('int64'), 'mean': Value('float64')}, 'soc127_coverage_pct': Value('float64'), 'url_coverage_pct': Value('float64')}, 'olmocr_science_pdfs': {'shards_available': Value('int64'), 'shards_sampled': Value('int64'), 'total_docs_sampled': Value('int64'), 'has_soc127_metadata': Value('int64'), 'has_url': Value('int64'), 'text_length_stats': {'min': Value('int64'), 'max': Value('int64'), 'median': Value('int64'), 'mean': Value('float64')}, 'soc127_coverage_pct': Value('float64'), 'url_coverage_pct': Value('float64')}, 'stack_edu': {'shards_available': Value('int64'), 'shards_sampled': Value('int64'), 'total_docs_sampled': Value('int64'), 'has_soc127_metadata': Value('int64'), 'has_url': Value('int64'), 'text_length_stats': {'min': Value('int64'), 'max': Value('int64'), 'median': Value('int64'), 'mean': Value('float64')}, 'soc127_coverage_pct': Value('float64'), 'url_coverage_pct': Value('float64')}}, 'total_source_families': Value('int64'), 'total_shards': Value('int64'), 'pool_shards': Value('int64'), 'nonpool_shards': Value('int64')}
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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