birgermoell/oellm-longctx-tokenized-natural-128k-256k-pilot-v1
OELLM Natural Long-Context Tokenized 128K/256K Expanded Pilot This dataset contains Megatron-LM tokenized continuation-training artifacts for natural long-context extension experiments at 128K and 256K sequence scales. This public revision expands the original pilot from 128 to 512 packed examples per source/tier, for 3,072 packed examples total. The raw pack manifest reports approximately 586M source-side estimated tokens across all six source/tier shards. Accessible source… See the full description on the dataset page: https://huggingface.co/datasets/birgermoell/oellm-longctx-tokenized-natural-128k-256k-pilot-v1.
OELLM Natural Long-Context Tokenized 128K/256K Expanded Pilot
This dataset contains Megatron-LM tokenized continuation-training artifacts for natural long-context extension experiments at 128K and 256K sequence scales.
This public revision expands the original pilot from 128 to 512 packed examples per source/tier, for 3,072 packed examples total. The raw pack manifest reports approximately 586M source-side estimated tokens across all six source/tier shards.
Accessible source streams used for this revision:
edward-io/starcoderdata-repoas repo-packed code fallbacksedthh/gutenberg_multilangfor long multilingual book textallenai/olmo-mix-1124/arxivfor full paper text
The intended final code source is Stack v2 repository hydration, but that is not included here because gated Stack v2/SWH access was not available on the GPU host at build time.
Contents
The artifact layout follows openeuro-longctx-megatron-v1:
bin/: Megatron.bin/.idxfiles plus tokenization summarymix/: weighted Megatron--data-pathfilesmanifests/: build metadata, SHA256 checksums, raw pack manifest, and the 512-example recipe
The staged training mix is:
natural_code_repo_pack_128k: 25%natural_code_repo_pack_256k: 25%natural_books_concat_128k: 15%natural_books_concat_256k: 15%natural_arxiv_full_concat_128k: 10%natural_arxiv_full_concat_256k: 10%
Each source/tier contains 512 packed examples.
Usage
Download the dataset and use the generated Megatron data path:
python -m longctx.cli artifacts download \
--repo-id birgermoell/oellm-longctx-tokenized-natural-128k-256k-pilot-v1 \
--output-dir ./data/oellm-natural-128k-256k-pilot
export DATA_PATH="$(cat ./data/oellm-natural-128k-256k-pilot/mix/data_path.args)"Pass $DATA_PATH to Megatron with --data-path.
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 datasets and their source documents; this dataset card does not grant additional rights beyond those upstream terms.
