size_categories:1M<n<10M format:parquet library:datasets library:dask library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: input_ids
    sequence: int32
  - name: attention_mask
    sequence: int8
  - name: token_type_ids
    sequence: int8
  - name: labels
    sequence: int64
  - name: next_sentence_labels
    dtype: int64
  splits:
  - name: train
    num_bytes: 12337588320
    num_examples: 1715460
  - name: validation
    num_bytes: 26423408
    num_examples: 3674
  download_size: 1076906240
  dataset_size: 12364011728
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
---

Preprocessed dataset intended for pretraining of base models. Dataset was inspired by BERT pretraining - it includes NSP and MLM tasks and labels.