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# nemo_automodel.components.datasets.llm.mock_seq_cls

## Module Contents

### Classes

| Name                                                                                                                                      | Description                                                                     |
| ----------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------- |
| [`MockSequenceClassificationDataset`](#nemo_automodel-components-datasets-llm-mock_seq_cls-MockSequenceClassificationDataset)             | Mock dataset for sequence classification functional tests.                      |
| [`MockSequenceClassificationDatasetConfig`](#nemo_automodel-components-datasets-llm-mock_seq_cls-MockSequenceClassificationDatasetConfig) | Construction-time configuration for :class:`MockSequenceClassificationDataset`. |

### API

```python
class nemo_automodel.components.datasets.llm.mock_seq_cls.MockSequenceClassificationDataset(
    num_samples: int = 64,
    num_labels: int = 2,
    vocab_size: int = 256,
    max_seq_len: int = 32,
    seed: int = 0,
    tokenizer = None
)
```

**Bases:** `Dataset`

Mock dataset for sequence classification functional tests.

Generates random token sequences with binary labels.
Does not require a tokenizer or network access.

```python
nemo_automodel.components.datasets.llm.mock_seq_cls.MockSequenceClassificationDataset.__getitem__(
    idx
)
```

```python
nemo_automodel.components.datasets.llm.mock_seq_cls.MockSequenceClassificationDataset.__len__()
```

```python
class nemo_automodel.components.datasets.llm.mock_seq_cls.MockSequenceClassificationDatasetConfig(
    num_samples: int = 64,
    num_labels: int = 2,
    vocab_size: int = 256,
    max_seq_len: int = 32,
    seed: int = 0
)
```

Dataclass

Construction-time configuration for :class:`MockSequenceClassificationDataset`.

Maximum sequence length (each sample length is sampled in `[4, max_seq_len]`).

Number of classification labels.

Number of synthetic samples to generate.

Seed for the random generator.

Vocabulary size for the random token ids.

```python
nemo_automodel.components.datasets.llm.mock_seq_cls.MockSequenceClassificationDatasetConfig.build(
    tokenizer: 'PreTrainedTokenizerBase | None' = None
) -> 'MockSequenceClassificationDataset'
```

Build a :class:`MockSequenceClassificationDataset` from this :class:`MockSequenceClassificationDatasetConfig`.