nemo_automodel.components.datasets.llm.mock_packed

Module Contents

Functions

Name	Description
`build_packed_dataset`	Dataset builder.
`flush_block`	Flush helper (build position_ids that reset after <eos>).
`gen_sentence_ids`	Sentence generator with Gaussian length control.
`make_vocab`	Build a trivial vocab; index 0=<pad>, 1=<eos>, rest = word_i.

Data

ds

API

nemo_automodel.components.datasets.llm.mock_packed.build_packed_dataset(
    num_blocks: int = 10,
    block_size: int = 128,
    mean_len: float = 20.0,
    std_len: float = 6.0,
    vocab_size: int = 100,
    max_sentence_len: int = 64,
    seed: int = 0,
    tokenizer = None
)

Dataset builder.

nemo_automodel.components.datasets.llm.mock_packed.flush_block(
    block,
    block_size
)

Flush helper (build position_ids that reset after <eos>).

nemo_automodel.components.datasets.llm.mock_packed.gen_sentence_ids(
    vocab,
    mean_len: float,
    std_len: float,
    max_len: int
)

Sentence generator with Gaussian length control.

nemo_automodel.components.datasets.llm.mock_packed.make_vocab(
    vocab_size: int = 100
)

Build a trivial vocab; index 0=<pad>, 1=<eos>, rest = word_i.

nemo_automodel.components.datasets.llm.mock_packed.ds = build_packed_dataset(num_blocks=3, block_size=32, mean_len=10, std_len=3, vocab_...