Datasets:
Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
created_at_unix: int64
artifact_format: string
source_bin_dir: string
source_mix_dir: string
tokenizer_type: string
tokenizer_model: string
tokenizer_revision: null
vocab_size: int64
megatron_path: string
megatron_git_commit: string
mix: struct<bin_dir: string, suffix: string, alpha: double, floor: double, explicit_weights: string, tota (... 460 chars omitted)
child 0, bin_dir: string
child 1, suffix: string
child 2, alpha: double
child 3, floor: double
child 4, explicit_weights: string
child 5, total_bin_bytes: int64
child 6, languages: struct<structured_docsite_refs_128k: struct<prefix: string, bin_bytes: int64, natural_p: double, wei (... 328 chars omitted)
child 0, structured_docsite_refs_128k: struct<prefix: string, bin_bytes: int64, natural_p: double, weight: double>
child 0, prefix: string
child 1, bin_bytes: int64
child 2, natural_p: double
child 3, weight: double
child 1, structured_docsite_refs_256k: struct<prefix: string, bin_bytes: int64, natural_p: double, weight: double>
child 0, prefix: string
child 1, bin_bytes: int64
child 2, natural_p: double
child 3, weight: double
child 2, structured_rfc_specs_128k: struct<prefix: string, bin_bytes: int64, natural_p: double, weight: double>
child 0, prefix: string
child 1, bin_bytes: int64
child 2, natural_p: double
child 3, weight: double
child 3, structured_rfc_specs_256k: struct<prefix: string, bin_bytes: int64, natural_p: double, weight: double>
child 0, prefix: string
child 1, bin_bytes: int64
child 2, natural_p: double
child 3, weight: double
notes: string
structured_rfc_specs_256k: struct<prefix: string, bin_mb: double, idx_mb: double>
child 0, prefix: string
child 1, bin_mb: double
child 2, idx_mb: double
structured_docsite_refs_128k: struct<prefix: string, bin_mb: double, idx_mb: double>
child 0, prefix: string
child 1, bin_mb: double
child 2, idx_mb: double
structured_docsite_refs_256k: struct<prefix: string, bin_mb: double, idx_mb: double>
child 0, prefix: string
child 1, bin_mb: double
child 2, idx_mb: double
structured_rfc_specs_128k: struct<prefix: string, bin_mb: double, idx_mb: double>
child 0, prefix: string
child 1, bin_mb: double
child 2, idx_mb: double
to
{'structured_docsite_refs_128k': {'prefix': Value('string'), 'bin_mb': Value('float64'), 'idx_mb': Value('float64')}, 'structured_docsite_refs_256k': {'prefix': Value('string'), 'bin_mb': Value('float64'), 'idx_mb': Value('float64')}, 'structured_rfc_specs_128k': {'prefix': Value('string'), 'bin_mb': Value('float64'), 'idx_mb': Value('float64')}, 'structured_rfc_specs_256k': {'prefix': Value('string'), 'bin_mb': Value('float64'), 'idx_mb': Value('float64')}}
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 478, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
created_at_unix: int64
artifact_format: string
source_bin_dir: string
source_mix_dir: string
tokenizer_type: string
tokenizer_model: string
tokenizer_revision: null
vocab_size: int64
megatron_path: string
megatron_git_commit: string
mix: struct<bin_dir: string, suffix: string, alpha: double, floor: double, explicit_weights: string, tota (... 460 chars omitted)
child 0, bin_dir: string
child 1, suffix: string
child 2, alpha: double
child 3, floor: double
child 4, explicit_weights: string
child 5, total_bin_bytes: int64
child 6, languages: struct<structured_docsite_refs_128k: struct<prefix: string, bin_bytes: int64, natural_p: double, wei (... 328 chars omitted)
child 0, structured_docsite_refs_128k: struct<prefix: string, bin_bytes: int64, natural_p: double, weight: double>
child 0, prefix: string
child 1, bin_bytes: int64
child 2, natural_p: double
child 3, weight: double
child 1, structured_docsite_refs_256k: struct<prefix: string, bin_bytes: int64, natural_p: double, weight: double>
child 0, prefix: string
child 1, bin_bytes: int64
child 2, natural_p: double
child 3, weight: double
child 2, structured_rfc_specs_128k: struct<prefix: string, bin_bytes: int64, natural_p: double, weight: double>
child 0, prefix: string
child 1, bin_bytes: int64
child 2, natural_p: double
child 3, weight: double
child 3, structured_rfc_specs_256k: struct<prefix: string, bin_bytes: int64, natural_p: double, weight: double>
child 0, prefix: string
child 1, bin_bytes: int64
child 2, natural_p: double
child 3, weight: double
notes: string
structured_rfc_specs_256k: struct<prefix: string, bin_mb: double, idx_mb: double>
child 0, prefix: string
child 1, bin_mb: double
child 2, idx_mb: double
structured_docsite_refs_128k: struct<prefix: string, bin_mb: double, idx_mb: double>
child 0, prefix: string
child 1, bin_mb: double
child 2, idx_mb: double
structured_docsite_refs_256k: struct<prefix: string, bin_mb: double, idx_mb: double>
child 0, prefix: string
child 1, bin_mb: double
child 2, idx_mb: double
structured_rfc_specs_128k: struct<prefix: string, bin_mb: double, idx_mb: double>
child 0, prefix: string
child 1, bin_mb: double
child 2, idx_mb: double
to
{'structured_docsite_refs_128k': {'prefix': Value('string'), 'bin_mb': Value('float64'), 'idx_mb': Value('float64')}, 'structured_docsite_refs_256k': {'prefix': Value('string'), 'bin_mb': Value('float64'), 'idx_mb': Value('float64')}, 'structured_rfc_specs_128k': {'prefix': Value('string'), 'bin_mb': Value('float64'), 'idx_mb': Value('float64')}, 'structured_rfc_specs_256k': {'prefix': Value('string'), 'bin_mb': Value('float64'), 'idx_mb': Value('float64')}}
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.
OELLM Structured Long-Context Tokenized 128K/256K v1
This dataset is a structured long-context add-on for continuation training. It complements the natural code/books/arXiv mix with precise, cross-reference-heavy technical prose.
Source families:
- RFC Editor plain-text RFC standards/specifications, collected directly from
rfc-editor.org/rfc - curated technical documentation files from Rust Reference, Rust Book, Django docs, Kubernetes docs, Python docs, and PostgreSQL docs
The corpus contains 917 packed examples: 384 RFC 128K examples, 384 RFC 256K examples, 99 documentation 128K examples, and 50 documentation 256K examples. The raw pack manifest reports approximately 170.8M source-side estimated tokens.
Contents
The artifact layout follows openeuro-longctx-megatron-v1:
bin/: Megatron.bin/.idxfiles plus tokenization summarymix/: weighted Megatron--data-pathfilesmanifests/: build metadata, checksums, source collection manifest, pack manifest, recipe, and collector script
The staged training mix is:
structured_rfc_specs_128k: 35%structured_rfc_specs_256k: 35%structured_docsite_refs_128k: 15%structured_docsite_refs_256k: 15%
Usage
Download the dataset and use the generated Megatron data path:
python -m longctx.cli artifacts download \
--repo-id birgermoell/oellm-longctx-tokenized-structured-128k-256k-v1 \
--output-dir ./data/oellm-structured-128k-256k-v1
export STRUCTURED_DATA_PATH="$(cat ./data/oellm-structured-128k-256k-v1/mix/data_path.args)"
Pass $STRUCTURED_DATA_PATH to Megatron with --data-path, or combine it with the natural 128K/256K dataset as another weighted data-path component.
Tokenizer
Built with:
- tokenizer type:
HuggingFaceTokenizer - tokenizer model:
/home/ubuntu/birger/Megatron-Bridge-utils/tokenizers/openeurollm/tokenizer-256k - vocab size:
262144
Source and license note
This is a derived tokenized artifact. Rights and usage constraints follow the upstream RFC and documentation sources; this dataset card does not grant additional rights beyond those upstream terms.
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