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Datasets:
birgermoell
/
oellm-longctx-tokenized-streamed-all-v2

Tasks:
Text Generation
Languages:
Bulgarian
Bosnian
Catalan
License:
Dataset card Files
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 Community
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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
alpha: null
floor: null
suffix: string
bin_dir: string
total_bin_bytes: int64
tiers: struct<16k_plus: struct<min: int64, weight: double>, 4_16k: struct<min: int64, max: int64, weight: d (... 52 chars omitted)
  child 0, 16k_plus: struct<min: int64, weight: double>
      child 0, min: int64
      child 1, weight: double
  child 1, 4_16k: struct<min: int64, max: int64, weight: double>
      child 0, min: int64
      child 1, max: int64
      child 2, weight: double
  child 2, under4k: struct<max: int64, weight: double>
      child 0, max: int64
      child 1, weight: double
languages: struct<lc16k_smoke_20260507_mt_s0000_c00000_16k_plus: struct<weight: double, bin_bytes: int64, natur (... 538 chars omitted)
  child 0, lc16k_smoke_20260507_mt_s0000_c00000_16k_plus: struct<weight: double, bin_bytes: int64, natural_p: double, prefix: string, tier: string, language:  (... 63 chars omitted)
      child 0, weight: double
      child 1, bin_bytes: int64
      child 2, natural_p: double
      child 3, prefix: string
      child 4, tier: string
      child 5, language: string
      child 6, source: string
      child 7, docs: int64
      child 8, source_token_count: int64
  child 1, lc16k_smoke_20260507_mt_s0000_c00000_4_16k: struct<weight: double, bin_bytes: int64, natural_p: double, prefix: string, tier: string, language:  (... 63 chars omitted)
      child 0, weight: double
      child 1, bin_bytes: int64
      child 2, natural_p: double
      child 3, prefix: string
      child 4, tier: string
      child 5, language: string
      child 6, source: string
      child 7, docs: int64
      child 8, source_token_count: int64
  child 2, lc16k_smoke_20260507_mt_s0000_c00000_under4k: struct<weight: double, bin_bytes: int64, natural_p: double, prefix: string, tier: string, language:  (... 63 chars omitted)
      child 0, weight: double
      child 1, bin_bytes: int64
      child 2, natural_p: double
      child 3, prefix: string
      child 4, tier: string
      child 5, language: string
      child 6, source: string
      child 7, docs: int64
      child 8, source_token_count: int64
data_path_args: string
source_dataset: string
tokenizer_type: string
tokenizer_model: string
artifact_format: string
created_at_unix: int64
entries: list<item: struct<name: string, language: string, tier: string, source: string, docs: int64, source_ (... 128 chars omitted)
  child 0, item: struct<name: string, language: string, tier: string, source: string, docs: int64, source_token_count (... 116 chars omitted)
      child 0, name: string
      child 1, language: string
      child 2, tier: string
      child 3, source: string
      child 4, docs: int64
      child 5, source_token_count: int64
      child 6, bin_bytes: int64
      child 7, idx_bytes: int64
      child 8, bin_sha256: string
      child 9, idx_sha256: string
      child 10, weight: double
      child 11, prefix: string
vocab_size: int64
to
{'created_at_unix': Value('int64'), 'artifact_format': Value('string'), 'source_dataset': Value('string'), 'tokenizer_type': Value('string'), 'tokenizer_model': Value('string'), 'vocab_size': Value('int64'), 'entries': List({'name': Value('string'), 'language': Value('string'), 'tier': Value('string'), 'source': Value('string'), 'docs': Value('int64'), 'source_token_count': Value('int64'), 'bin_bytes': Value('int64'), 'idx_bytes': Value('int64'), 'bin_sha256': Value('string'), 'idx_sha256': Value('string'), 'weight': Value('float64'), 'prefix': Value('string')})}
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
              alpha: null
              floor: null
              suffix: string
              bin_dir: string
              total_bin_bytes: int64
              tiers: struct<16k_plus: struct<min: int64, weight: double>, 4_16k: struct<min: int64, max: int64, weight: d (... 52 chars omitted)
                child 0, 16k_plus: struct<min: int64, weight: double>
                    child 0, min: int64
                    child 1, weight: double
                child 1, 4_16k: struct<min: int64, max: int64, weight: double>
                    child 0, min: int64
                    child 1, max: int64
                    child 2, weight: double
                child 2, under4k: struct<max: int64, weight: double>
                    child 0, max: int64
                    child 1, weight: double
              languages: struct<lc16k_smoke_20260507_mt_s0000_c00000_16k_plus: struct<weight: double, bin_bytes: int64, natur (... 538 chars omitted)
                child 0, lc16k_smoke_20260507_mt_s0000_c00000_16k_plus: struct<weight: double, bin_bytes: int64, natural_p: double, prefix: string, tier: string, language:  (... 63 chars omitted)
                    child 0, weight: double
                    child 1, bin_bytes: int64
                    child 2, natural_p: double
                    child 3, prefix: string
                    child 4, tier: string
                    child 5, language: string
                    child 6, source: string
                    child 7, docs: int64
                    child 8, source_token_count: int64
                child 1, lc16k_smoke_20260507_mt_s0000_c00000_4_16k: struct<weight: double, bin_bytes: int64, natural_p: double, prefix: string, tier: string, language:  (... 63 chars omitted)
                    child 0, weight: double
                    child 1, bin_bytes: int64
                    child 2, natural_p: double
                    child 3, prefix: string
                    child 4, tier: string
                    child 5, language: string
                    child 6, source: string
                    child 7, docs: int64
                    child 8, source_token_count: int64
                child 2, lc16k_smoke_20260507_mt_s0000_c00000_under4k: struct<weight: double, bin_bytes: int64, natural_p: double, prefix: string, tier: string, language:  (... 63 chars omitted)
                    child 0, weight: double
                    child 1, bin_bytes: int64
                    child 2, natural_p: double
                    child 3, prefix: string
                    child 4, tier: string
                    child 5, language: string
                    child 6, source: string
                    child 7, docs: int64
                    child 8, source_token_count: int64
              data_path_args: string
              source_dataset: string
              tokenizer_type: string
              tokenizer_model: string
              artifact_format: string
              created_at_unix: int64
              entries: list<item: struct<name: string, language: string, tier: string, source: string, docs: int64, source_ (... 128 chars omitted)
                child 0, item: struct<name: string, language: string, tier: string, source: string, docs: int64, source_token_count (... 116 chars omitted)
                    child 0, name: string
                    child 1, language: string
                    child 2, tier: string
                    child 3, source: string
                    child 4, docs: int64
                    child 5, source_token_count: int64
                    child 6, bin_bytes: int64
                    child 7, idx_bytes: int64
                    child 8, bin_sha256: string
                    child 9, idx_sha256: string
                    child 10, weight: double
                    child 11, prefix: string
              vocab_size: int64
              to
              {'created_at_unix': Value('int64'), 'artifact_format': Value('string'), 'source_dataset': Value('string'), 'tokenizer_type': Value('string'), 'tokenizer_model': Value('string'), 'vocab_size': Value('int64'), 'entries': List({'name': Value('string'), 'language': Value('string'), 'tier': Value('string'), 'source': Value('string'), 'docs': Value('int64'), 'source_token_count': Value('int64'), 'bin_bytes': Value('int64'), 'idx_bytes': Value('int64'), 'bin_sha256': Value('string'), 'idx_sha256': Value('string'), 'weight': Value('float64'), 'prefix': Value('string')})}
              because column names don't match

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OpenEuroLLM long-context Megatron streamed tokenized artifacts

This dataset contains Megatron-LM indexed data (.bin/.idx) uploaded shard by shard from longctx stream-upload. It is intended as a transport format for continued pretraining on LUMI or another training machine; it is not raw text.

  • Source dataset: HuggingFaceFW/finepdfs-edu
  • Tooling: openeuro-longctx-datamix
  • Run namespace: runs/lc16k_full_20260507/
  • Tokenizer type: HuggingFaceTokenizer
  • Tokenizer: OpenEuroLLM 256k tokenizer path used during preprocessing
  • Format: Megatron-LM *_text_document.bin and *_text_document.idx files plus per-chunk JSON manifests
  • Uploaded artifacts: 2,005 chunk manifests, 2,005 .bin files, 2,005 .idx files
  • Tokenized artifact size: about 670.4 GiB (.bin + .idx, uncompressed file sizes)

Included Languages And Length Buckets

This snapshot includes the 35 OpenEuroLLM target languages available in FinePDFs-Edu. The three target languages not present in FinePDFs-Edu (ga, sq, lb) are not included in this artifact snapshot and need separate sourcing before tokenization.

Length buckets are based on the FinePDFs-Edu source token_count field:

Bucket Source document length
<4k fewer than 4,000 source tokens
4-16k 4,000 to fewer than 16,000 source tokens
>=16k 16,000 or more source tokens

Sizes below are uploaded Megatron artifact sizes in GiB, not compressed source parquet size. Each bucket cell is chunks / GiB.

ISO Language Chunks Tokenized GiB >=16k chunks/GiB 4-16k chunks/GiB <4k chunks/GiB
bg Bulgarian 15 4.6 4 / 3.4 4 / 0.9 7 / 0.3
bs Bosnian 9 3.7 3 / 3.0 3 / 0.5 3 / 0.2
ca Catalan 20 4.3 4 / 2.6 4 / 1.1 12 / 0.6
cs Czech 53 15.2 8 / 10.5 14 / 3.3 31 / 1.5
cy Welsh 3 0.3 1 / 0.1 1 / 0.1 1 / 0.0
da Danish 22 6.3 4 / 4.2 4 / 1.4 14 / 0.7
de German 313 62.7 45 / 34.4 45 / 16.8 223 / 11.6
el Greek 20 8.7 5 / 6.7 5 / 1.3 10 / 0.7
en English 302 109.9 20 / 63.0 60 / 29.5 222 / 17.3
es Spanish 254 106.1 54 / 76.6 54 / 20.7 146 / 8.8
et Estonian 7 1.5 2 / 1.0 2 / 0.3 3 / 0.2
eu Basque 6 1.1 2 / 0.8 2 / 0.2 2 / 0.1
fi Finnish 20 7.3 5 / 5.7 5 / 1.1 10 / 0.5
fr French 129 33.6 21 / 19.4 21 / 8.6 87 / 5.6
gl Galician 4 0.9 1 / 0.6 1 / 0.2 2 / 0.1
hr Croatian 16 6.1 4 / 4.8 4 / 0.9 8 / 0.4
hu Hungarian 38 18.2 10 / 15.0 10 / 2.3 18 / 0.8
is Icelandic 7 0.9 2 / 0.7 2 / 0.2 3 / 0.1
it Italian 146 38.1 25 / 23.7 25 / 8.7 96 / 5.8
lt Lithuanian 11 3.3 3 / 2.5 3 / 0.6 5 / 0.2
lv Latvian 7 2.1 2 / 1.5 2 / 0.4 3 / 0.2
mk Macedonian 6 1.0 2 / 0.8 2 / 0.1 2 / 0.0
mt Maltese 3 0.4 1 / 0.2 1 / 0.1 1 / 0.0
nl Dutch 74 18.3 13 / 10.5 13 / 4.9 48 / 2.9
no Norwegian Bokmal 16 4.9 4 / 3.4 4 / 1.0 8 / 0.4
pl Polish 85 28.1 15 / 20.1 25 / 5.7 45 / 2.3
pt Portuguese 118 47.9 25 / 32.5 43 / 11.9 50 / 3.5
ro Romanian 28 16.5 7 / 13.2 7 / 2.4 14 / 0.9
ru Russian 148 63.2 37 / 47.9 37 / 11.0 74 / 4.3
sk Slovak 20 6.9 4 / 4.8 6 / 1.5 10 / 0.6
sl Slovenian 12 2.3 3 / 1.6 3 / 0.4 6 / 0.3
sr Serbian 12 7.2 4 / 6.3 4 / 0.6 4 / 0.2
sv Swedish 33 12.2 7 / 8.5 7 / 2.5 19 / 1.2
tr Turkish 20 9.1 5 / 6.8 5 / 1.8 10 / 0.6
uk Ukrainian 28 17.8 7 / 14.2 7 / 2.8 14 / 0.8
Total 35 languages 2,005 670.4 359 / 450.8 435 / 145.8 1,211 / 73.8

Repository Layout

The run is stored under runs/lc16k_full_20260507/:

runs/lc16k_full_20260507/
├── bin/                 # Megatron *_text_document.bin/.idx files
└── manifests/chunks/    # one JSON manifest per tokenized chunk

Chunk names follow:

lc16k_full_20260507_<lang>_s<source-shard>_c<chunk>_<tier>

For example:

lc16k_full_20260507_sv_s0000_c00000_under4k_text_document.bin
lc16k_full_20260507_sv_s0000_c00000_under4k_text_document.idx
manifests/chunks/lc16k_full_20260507_sv_s0000_c00000_under4k.json

Use On LUMI Or Another Training Machine

Download the artifact snapshot with the helper in openeuro-longctx-datamix:

python -m longctx.cli artifacts download \
  --repo-id birgermoell/oellm-longctx-tokenized-streamed-all-v2 \
  --output-dir /scratch/project_462000353/$USER/oellm-longctx-tokenized

This repository contains chunk artifacts only for this run. The final global mix metadata was intentionally skipped during the low-disk continuation upload, so rebuild the Megatron data mix from the downloaded .bin/.idx files before training.

Caveats

  • This is not raw text; it is Megatron indexed binary data.
  • FinePDFs-Edu license and filtering constraints apply to the source data.
  • The three target languages missing from FinePDFs-Edu (ga, sq, lb) are not included here.
  • The uploaded sizes are uncompressed .bin + .idx file sizes as reported by Hugging Face file metadata.
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